About Raphaël Huser Raphaël Huser Associate Professor, Statistics Statistics of extremes extreme-value theory spatio-temporal statistics data science machine learning copulas Environmental Statistics geostatistics applications to finance applications to neuroscience Professor Huser develops novel statistical methodology and machine learning solutions to model and predict extreme events in various applications ranging from climate and earth sciences to finance and neuroscience. Articles Related News January 2024 New paper accepted in Natural Hazards and Earth System Sciences (NHESS) 1 min read · Fri, Jan 19 2024 Spotlight News New paper accepted: Dahal, A., Tanyas, H., van Westen, C., van der Meije, M., Mai, P. M, Huser, R., and Lombardo, L. (2024+), Space-time landslide hazard modeling via ensemble neural networks, Natural Hazards and Earth System Sciences, to appear [ PDF preprint] New paper accepted in Spatial Statistics 1 min read · Mon, Jan 8 2024 Spotlight News Cisneros, D., Richards, J., Dahal, A., Lombardo, L., and Huser, R. (2024+), Deep graphical regression models for jointly moderate and extreme Australian wildfires, Spatial Statistics, to appear [ PDF preprint] New paper accepted in Technometrics 1 min read · Wed, Jan 3 2024 Spotlight News New paper accepted: Gong, Y., Zhong, P., Opitz, T., and Huser, R. (2024+), Partial tail-correlation coefficient applied to extremal-network learning, Technometrics, to appear [ PDF preprint] December 2023 New paper accepted in Journal of Agricultural, Biological, and Environmental Statistics (JABES) 1 min read · Tue, Dec 19 2023 Spotlight News Cisneros, D., Hazra, A., and Huser, R. (2023+), Spatial wildfire risk modeling using a tree-based multivariate generalized Pareto mixture model, Journal of Agricultural, Biological, and Environmental Statistics, to appear [ PDF preprint] November 2023 New paper accepted in Journal of Computational and Graphical Statistics (JCGS) 1 min read · Wed, Nov 22 2023 Spotlight News New paper accepted: Huser, R., Stein, M. L., and Zhong, P. (2023+), Vecchia likelihood approximation for accurate and fast inference with intractable spatial max-stable models, Journal of Computational and Graphical Statistics, to appear [ PDF preprint] September 2023 Top honors for KAUST extSTAT group at EVA 2023 2 min read · Wed, Sep 13 2023 Awards News KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan. Congratulations to Daniela for successfully defending her PhD thesis 1 min read · Mon, Sep 11 2023 Spotlight News Left: Daniela and three (out of four) committee members after her PhD defense, with Prof. Jorge Mateu (left), Daniela (center left), Prof. Raphaël Huser (center right), and Prof. Hernando Ombao (right). Prof. Matteo Parsani (not on the picture) was the last committee member. Right: picture taken after the defense, with Daniela (center) and Prof. Raphael Huser (in right corner holding his three kids). New paper accepted in Artificial Intelligence for the Earth Systems (AIES) 1 min read · Sun, Sep 10 2023 Spotlight News New paper accepted: Richards, J., Huser, R., Bevacqua, E., and Zscheischler, J. (2023+), Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning, Artificial Intelligence for the Earth Systems, to appear [ PDF preprint]. August 2023 New paper accepted in Journal of the Royal Statistical Society: Series C 1 min read · Sat, Aug 5 2023 Spotlight News New paper accepted: Yadav, R., Huser, R., Opitz, T., and Lombardo, L. (2023+), Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions, Journal of the Royal Statistical Society: Series C, to appear [ PDF preprint]. July 2023 New paper accepted in The American Statistician 1 min read · Mon, Jul 31 2023 Spotlight News Bayes estimators Deep learning likelihood-free inference optimal inference spatial statistics New paper accepted: Sainsbury-Dale, M., Zammit-Mangion, A., and Huser, R. (2023+), Likelihood-free parameter estimation with neural Bayes estimators, The American Statistician, to appear [ PDF preprint]. Congratulations to Paolo and Yalla team for their success at the EVA2023 conference 1 min read · Thu, Jul 6 2023 News Spotlight We are thrilled to extend our warmest congratulations to Paolo Victor Redondo and Team Yalla for their outstanding achievements at the EVA 3023 conference! The event, which aims to bring together researchers in Extreme Value Theory (EVT), methods, and its applications, witnessed Paolo's remarkable win for the Best Poster Presentation and Team Yalla's triumphant victory in the EVA Data Competition. Paolo's Best Poster Presentation award demonstrates his commitment, hard work, and enthusiasm for EVT and biostatistics. His remarkable presenting abilities and groundbreaking work on brain April 2023 KAUST STAT Program graduates secure faculty positions at prominent U.S. universities 7 min read · Wed, Apr 19 2023 News KAUST graduates are characterized by the rigor of their Ph.D. programs, the long hours spent in the lab and classroom, juggling professional and personal commitments, achieving a work-life balance and, more recently, the ability to adapt to a global pandemic. Congratulations to Matheus for successfully defending his PhD thesis 1 min read · Tue, Apr 4 2023 Spotlight News Left: Mathues and the beging of his defense, with Matheus (front) and Prof. Raphaël (right). Right: picture taken after the defense, with Matheus (center) and Prof. Raphael Huser (in his left side). March 2023 Congratulations to Yan for successfully defending her PhD thesis 1 min read · Tue, Mar 28 2023 Spotlight News Multivariate extremes extreme weather KAUST Ph.D. student’s paper recognized by the American Statistical Association 2 min read · Mon, Mar 27 2023 News Spotlight KAUST Ph.D. statistics student Paolo Victor Redondo was selected as a runner-up in the American Statistical Association’s (ASA) Statistics in Imaging Section 2023 Distinguished Student Paper Award Competition New paper accepted in Stat 1 min read · Sun, Mar 12 2023 Spotlight News New paper accepted: de Carvalho, M., Huser, R., and Rubio, R. (2023), Similarity-based clustering for patterns of extreme values, Stat 12, e560 [ journal][ PDF preprint]. January 2023 Two new papers in Extremes 1 min read · Thu, Jan 19 2023 Spotlight News Two new papers accepted to the Extremes Special Issue on the EVA Data Competition: Zhang, Z., Krainski, E., Zhong, P., Rue, H., and Huser, R. (2023+), Joint modeling and prediction of massive Spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach, Extremes, to appear [ PDF preprint]. Cisneros, D., Gong, Y., Yadav, R., Hazra, A., and Huser, R. (2022+), A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes, Extremes, to appear [ PDF preprint]. November 2022 Professor Huser receives the Abdel El-Shaarawi Early Investigator Award 2022 2 min read · Sun, Nov 20 2022 Awards News KAUST Associate Professor of Statistics Raphaël Huser has been awarded the Abdel El-Shaarawi Early Investigator (AEEI) Award 2022 from The International Environmetrics Society (TIES), an association of the International Statistical Institute (ISI). A skewed model for imbalanced health data 2 min read · Thu, Nov 10 2022 News An asymmetric statistical model provides a better fit for imbalanced data with rare "positives," such as longitudinal health datasets. October 2022 Flexible modeling of multivariate spatial extremes 1 min read · Sun, Oct 30 2022 News New paper accepted: Gong, Y., and Huser, R. (2022+), Flexible modeling of multivariate spatial extremes, Spatial Statistics, to appear [ PDF preprint]. New paper accepted in Electronic Journal of Statistics 1 min read · Fri, Oct 28 2022 Spotlight News Extreme-value model Kernel convolution process New paper accepted: Krupskii, P., and Huser, R. (2022+), Modeling spatial tail dependence with Cauchy convolution processes, Electronic Journal of Statistics, to appear [ PDF preprint]. Congratulations to Zhongwei for successfully defending his PhD thesis 1 min read · Tue, Oct 25 2022 Spotlight News Multivariate extremes extreme weather Left: Zhongwei before starting his PhD defense. Right: picture taken at the group dinner following the defense, with Zhongwei (center) and Prof. Raphael Huser (carrying a child next to Zhongwei) August 2022 New paper accepted in Biometrics 1 min read · Tue, Aug 2 2022 Spotlight News COVID-19 Markov models Asymmetric Correlated binary data New paper accepted: Zhang, Z., Arellano-Valle, R. B., Genton, M. G., and Huser, R. (2022+), Tractable Bayes of skew-elliptical link models for correlated binary data, Biometrics, to appear [ PDF preprint]. June 2022 Extreme analysis of seizures 1 min read · Mon, Jun 27 2022 News neuroscience machine learning human health statistics CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data. May 2022 New paper accepted in Environmetrics - 2022 1 min read · Thu, May 19 2022 Spotlight News Statistics of extremes New paper accepted: Castro-Camilo, D., Huser, R., and Rue, H. (2022+), Practical strategies for GEV-based regression models for extremes, Environmetrics, to appear [ PDF preprint] A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data 1 min read · Wed, May 11 2022 News Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication. April 2022 Raphaël Huser promoted to Associate Professor of Statistics (effective July 1st, 2022) 1 min read · Wed, Apr 6 2022 Spotlight News Congratulations to Rishikesh for successfully defending his PhD thesis 1 min read · Tue, Apr 5 2022 Spotlight News Left: Rishikesh before starting his PhD defense. Right: picture taken at a group dinner with Rishikesh (center) and Prof. Raphael Huser (carrying a child next to Rishikesh) Congratulations to Xuanjie for successfully defending his MS thesis 1 min read · Tue, Apr 5 2022 Spotlight News Statistics of extremes Picture taken at a group dinner, with Xuanjie (front row, 5th from the right) and Prof. Raphaël Huser (center, carrying a child) Congratulations to Peng for successfully defending his PhD thesis 1 min read · Mon, Apr 4 2022 Spotlight News Spatial extremes Title page of PhD defense slides Group picture with Peng (center), Prof. Raphael Huser (3rd from right), after Peng's defense Getting the tail straight 1 min read · Sun, Apr 3 2022 News Environmental Statistics big data modeling statistics KAUST’s Extreme Statistics Group has developed an improved statistical model for analyzing environmental data of extreme events, such as heavy rainfall or strong wind data. March 2022 New paper accepted in Annals of Applied Statistics 1 min read · Wed, Mar 9 2022 Spotlight News New paper accepted: Guerrero, M. B., Huser, R., and Ombao, H. (2022+), Conex-Connect: Learning patterns in extremal brain connectivity from multi-channel EEG data, Annals of Applied Statistics, to appear [ PDF preprint]. Decrypting the interdependence of cryptocurrencies 1 min read · Tue, Mar 1 2022 News big data modeling statistics A team of KAUST statisticians has analyzed the price movements of the top five cryptocurrencies to further understand their market behavior. Their model will help investors assess the risks of investing in cryptocurrencies. New paper accepted 1 min read · Tue, Mar 1 2022 Spotlight News statistics Spatial extremes Max-stable process Exact simulation New paper accepted: Zhong, P., Huser, R., and Opitz, T. (2022+), Exact simulation of max-infinitely divisible processes, Econometrics and Statistics [ arXiv][ PDF preprint ]. January 2022 New book chapter accepted 1 min read · Tue, Jan 4 2022 Spotlight News statistics Spatial extremes New book chapter accepted: Hazra, A., Huser, R. , and Jóhannesson, Á. V. (2021+), Bayesian l atent Gaussian models for high-dimensional spatial extremes , In Statistical Modeling Using Bayesian Latent Gaussian Models – With Applications in Geophysics and Environmental Sciences, editor B. Hrafnkelsson, Springer, to appear [ arXiv ][ PDF preprint ]. December 2021 New paper accepted in Extremes 1 min read · Sat, Dec 11 2021 Spotlight News spatio-temporal statistics extreme weather New paper accepted: Zhang, Z., Huser, R., Opitz, T., and Wadsworth, J. L. (2021+), Modeling spatial extremes using normal mean-variance mixtures, Extremes, to appear [ arXiv][ PDF preprint] November 2021 Congratulations to Arnab for his new position as Assistant Professor at the Indian Institute of Technology Kanpur 1 min read · Sat, Nov 20 2021 Spotlight News Asymmetric tail dependence modeling, with application to cryptocurrency market data 1 min read · Fri, Nov 5 2021 News New paper accepted: Gong, Y., and Huser, R. (2021+), Asymmetric tail dependence modeling, with application to cryptocurrency market data , Annals of Applied Statistics [ arXiv][ PDF preprint ]. October 2021 High-resolution Bayesian mapping of landslide hazard with unobserved trigger event 1 min read · Mon, Oct 18 2021 News landslide INLA Log-Gaussian Cox process New paper accepted: Opitz, T., Bakka, H., Huser, R. , and Lombardo, L. (2021+), High-resolution Bayesian mapping of landslide hazard with unobserved trigger event , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ]. September 2021 Heatwave model shows it is hotter in more places, more often 1 min read · Sun, Sep 12 2021 News extreme weather climate change statistics New modeling shows that heatwaves across Europe have increased in both frequency and spatial extent over the past century. August 2021 Approximate Bayesian inference for analysis of spatio-temporal flood frequency data 1 min read · Thu, Aug 5 2021 News Statistics of extremes Spatial extremes extreme weather New paper accepted : Jóhannesson, Á. V., Siegert, S., Huser, R. , Bakka, H., and Hrafnkelsson, B. (2021+), Approximate Bayesian inference for analysis of spatio-temporal flood frequency data , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ] June 2021 Modeling non-stationary temperature maxima based on extremal dependence changing with event magnitude 1 min read · Thu, Jun 17 2021 News Statistics of extremes Spatial extremes extreme weather New paper accepted: Zhong, P., Huser, R., and Opitz, T. (2021+), Modeling non-stationary temperature maxima based on extremal dependence changing with event magnitude, Annals of Applied Statistics [ arXiv][ PDF preprint]. April 2021 Predicting future hotspots in the Red Sea 1 min read · Thu, Apr 8 2021 News big data Red Sea climate science statistics Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs. December 2020 Modeling the neighborhood boosts landslide prediction 1 min read · Sun, Dec 13 2020 News statistics extreme statistics A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems. November 2020 Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model 1 min read · Fri, Nov 6 2020 News statistics Spatial extremes Red Sea New paper accepted: Hazra, A., and Huser, R. (2020+), Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model, Annals of Applied Statistics [ PDF preprint]. October 2020 New paper accepted in Environmetrics 2020 1 min read · Wed, Oct 21 2020 Spotlight News Statistics of extremes New paper accepted: Yadav, R., Huser, R. , and Opitz, T. (2020+), Spatial hierarchical modeling of threshold exceedances using rate mixtures , Environmetrics, to appear [ PDF preprint ]. Today we celebrate World Statistics Day! 1 min read · Tue, Oct 20 2020 News statistics healthcare Let’s discover the world of the statisticians at KAUST and be ready to be amazed by their cutting-edge research! New paper accepted in Wiley Interdisciplinary Reviews (WIREs): Computational Statistics. 1 min read · Wed, Oct 7 2020 Spotlight News statistics computational statistics New paper accepted: Huser, R. , and Wadsworth, J. L. (2020+), Advances in statistical modeling of spatial extremes , Wiley Interdisciplinary Reviews (WIREs): Computational Statistics, to appear [ PDF preprint ]. August 2020 New paper accepted in the Scandinavian Journal of Statistics (SJS) 1 min read · Wed, Aug 26 2020 Spotlight News New paper accepted: Huser, R. , Opitz, T., and Thibaud, E. (2020+), Max-infinitely divisible models and inference for spatial extremes , Scandinavian Journal of Statistics, to appear [journal][ PDF preprint ] New paper accepted in Earth Science Reviews (ESR) 1 min read · Thu, Aug 6 2020 Spotlight News extreme weather statistics New paper accepted: Lombardo*, L., Opitz, T., Ardizzone, F., Guzzetti, F., and Huser, R. (2020+), Space-time landslide predictive modelling, Earth Science Reviews, to appear [PDF preprint] June 2020 A sharper view of flood risk 1 min read · Sun, Jun 7 2020 News extreme events climate science statistics Extreme weather patterns and regions at risk of flooding could be easier to spot using a new statistical model for large spatial datasets. May 2020 New paper accepted in Bayesian Analysis 1 min read · Mon, May 25 2020 Spotlight News statistics Bayesian Statistics New paper accepted: Hrafnkelsson, B., Siegert, S., Huser, R., Bakka, H., and Jóhannesson, Á. V. (2020+), Max-and-Smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models, Bayesian Analysis, to appear [ arXiv]. March 2020 A hierarchical max-infinitely divisible spatial model for extreme precipitation 1 min read · Mon, Mar 23 2020 News Spatial extremes Max-infinitely New paper accepted: Bopp, G., Shaby, B., and Huser, R. (2020+), A hierarchical max-infinitely divisible spatial model for extreme precipitation, Journal of the American Statistical Association [arXiv][PDF]. Prof. Raphaël Huser now serving as AE for the journal Environmetrics 1 min read · Mon, Mar 16 2020 Spotlight News statistics Spatial extremes Prof. Raphaël Huser has been appointed to serve as an Associate Editor for Environmetrics, the Journal of The International Environmetrics Society ( TIES), starting on March 16, 2020. January 2020 Prof. Raphaël Huser now serving as AE for the Journal of the Korean Statistical Society 1 min read · Fri, Jan 3 2020 Spotlight News extSTAT Research Group Prof. Raphaël Huser has been appointed to serve as an Associated Editor for the Journal of the Korean Statistical Society ( JKSS) starting on January 1, 2020. December 2019 A second wind for turbine design 1 min read · Sun, Dec 8 2019 News renewable energy wind energy statistics Better prediction of extreme winds at sparsely observed locations could help optimize the design of wind farms. October 2019 Shaking up the landslide model 2 min read · Thu, Oct 24 2019 News disaster management Environmental Statistics statistics Areas without earthquake monitoring systems could model the tremors by using data from local landslides. September 2019 Expanding the scale of dangerous weather prediction 1 min read · Sun, Sep 29 2019 News Environmental Statistics A more accurate and efficient method of capturing the local factors that lead to extreme rainfall enables better flood prediction across larger regions. KAUST Assistant Professor Raphaël Huser receives American Statistical Association award 1 min read · Tue, Sep 3 2019 News Statistics of extremes spatio-temporal statistics copulas KAUST Assistant Professor Raphaël Huser recently received the American Statistical Association's (ASA) 2019 Section on Statistics and the Environment (ENVR) Early Investigator Award for his outstanding contributions to environmental statistics. He accepted the award at the 2019 Joint Statistical Meetings held in Denver, Colorado, U.S., from July 27 to August 1. August 2019 Congratulations to Daniela for her new position as Lecturer in Statistics at the University of Glasgow 1 min read · Mon, Aug 19 2019 News Spotlight July 2019 New paper accepted in JCGS 1 min read · Wed, Jul 17 2019 News Statistics of extremes New accepted paper: Vettori, S., Huser, R., Segers, J., and Genton, M. G. (2019+), Bayesian model averaging over tree-based dependence structures for multivariate extremes, Journal of Computational and Graphical Statistics, to appear. Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes 1 min read · Thu, Jul 4 2019 News Spatial extremes New accepted paper: Castro Camilo, D., and Huser, R. (2019+), Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes, Journal of the American Statistical Association, to appear. June 2019 New paper accepted in JGR - Earth Surface 1 min read · Tue, Jun 25 2019 Spotlight News Statistics of extremes Bayesian Statistics New accepted paper: Lombardo, L., Bakka, H., Tanyas, H., van Westen, C., Mai, P. M., and Huser, R. (2019+), Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides, Journal of Geophysical Research-Earth Surface [ PDF preprint] New paper accepted in JABES 1 min read · Tue, Jun 25 2019 Spotlight News extreme weather spatio-temporal statistics Statistics of extremes New accepted paper: Castro-Camilo, D., Huser, R., and Rue, H. (2019+), A spliced Gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting, Journal of Agricultural, Biological and Environmental Statistics, to appear [ PDF preprint] May 2019 Prof. Raphaël Huser now serving as AE of Econometrics and Statistics 1 min read · Thu, May 2 2019 Spotlight News Spatial extremes statistics Statistics of extremes Prof. Raphaël Huser has been appointed to serve as an Associate Editor for the Econometrics and Statistics ( EcoSta) part B (Statistics) starting from May 2019. January 2019 Raphaël Huser’s article among the top downloaded articles in Springer’s Environmental Sciences Journals 1 min read · Tue, Jan 22 2019 News INLA statistics xstat research highlights Luigi Lombardo, Thomas Opitz, and Raphaël Huser’s article “Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster”, published in the scientific journal Stochastic Environmental Research and Risk Assessment (SERRA), in July 2018, is among the top downloaded articles in Springer’s Environmental Sciences Journals for the year 2018. Huser is an Assistant Professor of statistics in the CEMSE division and principal investigator of the Extreme Statistics (extSTAT) Research Group at KAUST. KAUST students participate in Europe’s leading hackathon event 2 min read · Thu, Jan 3 2019 Awards Torsten Hädrich and Yan Gong, two KAUST Ph.D. students from the University's Computer, Electrical and Mathematical Science and Engineering division, recently represented KAUST at the 48-hour international hackathon event Junction 2018. The event, which is Europe's most prestigious annual hackathon, brought computer and data scientists to Helsinki, Finland, from November 23 to 25, 2018, with the goal of addressing real-world computational issues while inspiring the next generation of technological leaders. Around 1,000 participants—including developers, designers and other "tech-heads" from 105 Prof. Raphaël Huser appointed to serve as AE for JABES 1 min read · Tue, Jan 1 2019 Spotlight News statistics Prof. Raphaël Huser has been appointed to serve as an Associate Editor for the Springer Journal of Agricultural, Biological and Environmental Statistics ( JABES, 2017 Impact Factor: 1.072) starting from January 2019 . JABES publishes papers that introduce new statistical methods to solve practical problems in the agricultural sciences, the biological sciences, and the environmental sciences. November 2018 2018 Workshop on Statistics and Data Science 1 min read · Sat, Nov 10 2018 News statistics data analysis The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). Details on the workshop (speakers, abstracts and schedule) can be found here. October 2018 Nadhir Ben Rached succesfully defended his PhD Thesis 2 min read · Tue, Oct 9 2018 News The probability that a sum of random variables (RVs) exceeds (respectively falls below) a given threshold, is often encountered in the performance analysis of wireless communication systems. Generally, a closed-form expression of the sum distribution does not exist and a naive Monte Carlo (MC) simulation is computationally expensive when dealing with rare events. Congratulations to Luigi for his new position as Assistant Professor of Applied Soil Science at the University of Twente 1 min read · Sun, Oct 7 2018 Spotlight News September 2018 How extreme weather exacerbates air pollution 1 min read · Tue, Sep 4 2018 News statistics extreme weather air pollution xstat research highlights Simultaneously modeling of air pollutants and weather under extreme conditions highlights the potential for serious health risks. May 2018 Point patterns help to predict landslides 1 min read · Sun, May 20 2018 News computing earth science statistics Environmental Statistics Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides. April 2018 Students shine on the statistics stage 2 min read · Mon, Apr 2 2018 News Spotlight Statistics of extremes Environmental Statistics spatial statistics KAUST Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li have been selected by the Eastern North American Region (ENAR) of the International Biometric Society to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting. February 2018 Challenging statistics of weather extremes 1 min read · Sun, Feb 25 2018 News statistics climate science weather More accurate statistical modeling of extreme weather will improve forecasting and disaster mitigation. January 2018 Best 2016 Paper in the Journal of Agricultural, Biological and Environmental Statistics 1 min read · Mon, Jan 15 2018 Spotlight News statistics spatial statistics Spatial extremes Professor Huser will present the work in a special invited session (JABES showcase) at the International Biometric Conference taking place in Barcelona, Spain, in July 2018. December 2017 PhD student Sabrina Vettori selected for an ENAR Distinguished Student Paper Award. Congrats! 1 min read · Tue, Dec 5 2017 News Spotlight statistics air pollution PhD student Sabrina Vettori has been selected by the International Biometric Society Eastern North American Region (ENAR) to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting in Atlanta ( https://www.enar.org/meetings/spring2018/index.cfm ) for her manuscript entitled " Bayesian Hierarchical Modelling of Air Pollution Extremes Using Multivariate Max-Stable Processes ". She will present her work at an oral contributed paper session, be invited to attend the ENAR President’s reception and publicly receive their award at the beginning of the ENAR President’s Invited November 2017 2017 Workshop Modern Statistics for Complex Data Structures 1 min read · Sun, Nov 12 2017 Spotlight News statistics 2017 Workshop Modern Statistics for Complex Data Structures October 2017 Congratulations to Sabrina for successfully defending her PhD thesis 1 min read · Sun, Oct 22 2017 News September 2017 KAUST Ph.D. student wins American Statistical Association paper competition 1 min read · Thu, Sep 14 2017 Awards News Spotlight student award Sabrina Vettori, a Ph.D. student co-supervised by KAUST Distinguished Professor Marc Genton, who leads the Spatio-Temporal Statistics & Data Science group, and KAUST Assistant Professor Raphaël Huser, who leads the Extreme Statistics Research Group, won the 2017 Student Paper Competition sponsored by the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA). Eligible papers focused on environmental statistics, and the four competition winners presented their papers at an ENVR-sponsored session at the 2017 Joint Statistical Meetings (JSM), held from Letting the data speak for itself 1 min read · Sun, Sep 3 2017 News statistics climate science extreme events A new statistical approach for environmental measurements lets the data determine how to model extreme events. July 2017 Going to extremes to predict natural disasters 1 min read · Sat, Jul 8 2017 News simulation statistics A systematic approach to selecting and configuring statistical models improves predictions of extreme events. April 2017 Soumaya ElKantassi successfully defended her MS Thesis 1 min read · Sun, Apr 16 2017 News On April 12th, 2017, Soumaya ElKantassi successfully defended her MS Thesis entitled "Probabilistic Forecast of Wind Power Generation by Stochastic Differential Equation Models". March 2017 Improving connections for spatial analysis 1 min read · Sat, Mar 4 2017 News statistics computing applied mathematics A statistical model that accounts for common dependencies in spatial data yields more realistic results for studies of temperature, wind and pollution levels. February 2017 Giving power to demand-driven electricity 1 min read · Sat, Feb 4 2017 News applied mathematics computational science computing Computer science A new approach to analyzing household electricity: smart-meter data could improve the performance and efficiency of national power grids. December 2016 PhD student Sabrina Vettori selected for an ENVR Student Paper Award. Congrats! 1 min read · Sun, Dec 18 2016 News Spotlight Spatial extremes extreme-value theory PhD student Sabrina Vettori has been selected to receive a Best Student Paper Award from the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA) for her manuscript entitled "Bayesian clustering and dimension reduction in air pollutant multivariate extremes". Prof. Raphaël Huser is an Elected Member of ISI 1 min read · Fri, Dec 16 2016 Spotlight News Statistics of extremes CEMSE Big Data Open Day shows off fascinating discoveries 4 min read · Thu, Dec 8 2016 News big data machine learning knowledge discovery supercomputing The fifth-anniversary event marked CEMSE's biggest successes and featured 20 KAUST discoveries, with more than 1,000 visitors from the community attending the event."Big data has many applications: to understand medicine better; to manage food supplies, and to connect objects. Data is at the center of everything," said Dean Mootaz Elnozahy of the University's Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division at the CEMSE Big Data Open Day held on December 4, 2016. November 2016 Prof. Benjamin Shaby (Penn State University, USA) visits extSTAT 1 min read · Sun, Nov 20 2016 Spotlight News Spatial extremes extreme-value theory Statistics of extremes Prof. Ben Shaby is an Assistant Professor in the Statistics Department and the Institute for CyberScience at Penn State, where he started in 2013. Before that, he was a postdoc with Cari Kaufman at UC Berkeley. Previous stop was in Durham at the Statistics and Applied Mathematical Institute (SAMSI) and Duke University. He did his Ph.D. work in Statistics at Cornell University with David Ruppert and Marty Wells. Before starting at Cornell, he spent his undergrad years at Stanford (go Cardinal!). He then spent two great years working for Chris Field at the Carnegie Institution's Department of October 2016 2016 Workshop Statistics for High-Dimensional & Complex Data 1 min read · Mon, Oct 31 2016 News statistics Workshop on Statistics for High-Dimensional and Complex Data, Nov. 6-9, 2016 Organizers : Prof. Marc G. Genton, Chair of Spatio-Temporal Statistics and Data Science Group Prof. Raphael Huser, Chair of Extreme Statistics Group Prof. Ying Sun, Chair of Environmental Statistics Group Confirmed speakers: Prof. David Bolin, Chalmers University of Technology, Sweden Prof. Probal Chaudhuri, Indian Statistical Institute, India Prof. Dan Cooley, Colorado State University, USA Prof. Subhajit Dutta, IIT Kanpur, India Prof. Amanda Hering, Baylor University, USA Dr. Anna Kiriliouk, Université July 2016 Prof. Miguel de Carvalho and Rodrigo Rubio (PUC, Chile) visit extSTAT 1 min read · Fri, Jul 15 2016 News Statistics of extremes Prof. Miguel Carvalho holds a research and teaching positions at PUC Chile, EPFL, Banco de Portugal, and UNL. He is an applied mathematical statistician with a variety of research interests including, inter alia, statistical inferences for small-probability events, geometrical statistics, methods for data visualization and graphical learning, econometrics, and medical diagnostic assessment. June 2016 Getting a handle on extremes 1 min read · Sat, Jun 18 2016 News statistics applied mathematics By tapping into the power of extreme value theory, an international team of researchers including Raphaël Huser from the University's Computer, Electrical and Mathematical Science and Engineering Division has developed a statistical model that overcomes the shortcomings of previous schemes to provide a reliable basis for climate research and the prediction of drought and flood. The model can accurately describe observed rainfall data and reliably predict the likelihood of future extreme events. The analysis of hourly or daily rainfall data presents many challenges for researchers and May 2016 Postdoc Luigi Lombardo gets an Outstanding Student Poster and PICO EGU Award. Congratulations Luigi! 1 min read · Tue, May 24 2016 Spotlight News statistics landslide susceptibility modeling The 2016 Outstanding Student Poster and PICO (OSPP) Award is awarded to Luigi Lombardo for the poster/PICO entitled Landslide triggering-thickness susceptibility, a simple proxy for landslide hazard? A test in the Mili catchment (North-Eastern Sicily, Italy). Regarding his work, Luigi said: " In the PICO presentation project we modeled the thickness at the crown of each landslide as the dependent variable. As a result, the predictive maps carried more information than classic susceptibility ones, enabling a better proxy to hazard prediction." You can find Luigi's poster here. December 2015 Dr. Sebastian Engelke (EPFL) visits extSTAT 1 min read · Thu, Dec 17 2015 Spotlight News Spatial extremes extreme-value theory Sebastian is an Ambizione fellow at EPF Lausanne with Anthony Davison. Sebastian did his studies in Mathematics at University of Göttingen and UC Berkeley, and he finished his PhD as a Deutsche Telekom Foundation fellow in 2013 at the University of Göttingen with Martin Schlather. His research interests are in extreme value theory, spatial statistics, graphical models and data science. October 2015 2015 Workshop on Computational Space-Time Statistics 1 min read · Sun, Oct 4 2015 Spotlight News statistics spatio-temporal statistics Bayesian computational statistics Organizers : Prof. Marc G. Genton , Chair of Spatio-Temporal Statistics and Data Science Group Prof. Raphael Huser, Chair of Extreme Statistics Group Prof. Ying Sun, Chair of Environmental Statistics Group Confirmed speakers: Prof. Sudipto Banerjee, University of California Los Angeles, USA Prof. Souhaib Ben Taieb, Monash University, Australia Prof. Stefano Castruccio, Newcastle University, UK Prof. Miguel de Carvalho, Pontificia Universidad Catolica de Chile, Chile Prof. Clément Dombry, University of Franche-Comté , France Prof. Xuming He, University of Michigan, USA Prof. Hsin-Cheng Huang August 2015 Prof. Raphaël Huser wins the Lambert Award 2015 1 min read · Tue, Aug 25 2015 Spotlight News extreme weather Statistics of extremes extreme-value theory The Swiss Statistical Society (SSS) has established since 2013 the Johann Heinrich Lambert Award to recognize the work of young statisticians. The Lambert Award consists of a certificate and 1'000 Swiss Francs. It entitles to a plenary talk at the `Swiss Statistics Meeting'. The Lambert Award for Young Statisticians Goes To Raphael Huser 3 min read · Tue, Aug 25 2015 Spotlight News Statistics of extremes spatio-temporal statistics copulas Today Raphael Huser, Assistant Professor at King Abdullah University of Science and Technology (KAUST), received the Lambert Award for Young Statisticians for his contribution in modeling the distribution of extreme weather events. October 2014 Dr. Raphaël Huser wins the EPFL Doctorate award 2014 1 min read · Fri, Oct 3 2014 Spotlight News Risk assessment for extremes of natural phenomena has become increasingly important, and over the past few years the scientific community has realized the importance of considering the spatial or spatio-temporal extent of extreme events. The extreme-value distributions play an important role in the statistical modeling of extremes at individual locations, but for risk assessment it is crucial to assess dependence between extremes at locations: if dependence is strong, rare events might occur simultaneously at many different locations, thereby increasing the overall risk. In this thesis, new
New paper accepted in Natural Hazards and Earth System Sciences (NHESS) 1 min read · Fri, Jan 19 2024 Spotlight News New paper accepted: Dahal, A., Tanyas, H., van Westen, C., van der Meije, M., Mai, P. M, Huser, R., and Lombardo, L. (2024+), Space-time landslide hazard modeling via ensemble neural networks, Natural Hazards and Earth System Sciences, to appear [ PDF preprint]
New paper accepted in Spatial Statistics 1 min read · Mon, Jan 8 2024 Spotlight News Cisneros, D., Richards, J., Dahal, A., Lombardo, L., and Huser, R. (2024+), Deep graphical regression models for jointly moderate and extreme Australian wildfires, Spatial Statistics, to appear [ PDF preprint]
New paper accepted in Technometrics 1 min read · Wed, Jan 3 2024 Spotlight News New paper accepted: Gong, Y., Zhong, P., Opitz, T., and Huser, R. (2024+), Partial tail-correlation coefficient applied to extremal-network learning, Technometrics, to appear [ PDF preprint]
New paper accepted in Journal of Agricultural, Biological, and Environmental Statistics (JABES) 1 min read · Tue, Dec 19 2023 Spotlight News Cisneros, D., Hazra, A., and Huser, R. (2023+), Spatial wildfire risk modeling using a tree-based multivariate generalized Pareto mixture model, Journal of Agricultural, Biological, and Environmental Statistics, to appear [ PDF preprint]
New paper accepted in Journal of Computational and Graphical Statistics (JCGS) 1 min read · Wed, Nov 22 2023 Spotlight News New paper accepted: Huser, R., Stein, M. L., and Zhong, P. (2023+), Vecchia likelihood approximation for accurate and fast inference with intractable spatial max-stable models, Journal of Computational and Graphical Statistics, to appear [ PDF preprint]
Top honors for KAUST extSTAT group at EVA 2023 2 min read · Wed, Sep 13 2023 Awards News KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan.
Congratulations to Daniela for successfully defending her PhD thesis 1 min read · Mon, Sep 11 2023 Spotlight News Left: Daniela and three (out of four) committee members after her PhD defense, with Prof. Jorge Mateu (left), Daniela (center left), Prof. Raphaël Huser (center right), and Prof. Hernando Ombao (right). Prof. Matteo Parsani (not on the picture) was the last committee member. Right: picture taken after the defense, with Daniela (center) and Prof. Raphael Huser (in right corner holding his three kids).
New paper accepted in Artificial Intelligence for the Earth Systems (AIES) 1 min read · Sun, Sep 10 2023 Spotlight News New paper accepted: Richards, J., Huser, R., Bevacqua, E., and Zscheischler, J. (2023+), Insights into the drivers and spatio-temporal trends of extreme Mediterranean wildfires with statistical deep-learning, Artificial Intelligence for the Earth Systems, to appear [ PDF preprint].
New paper accepted in Journal of the Royal Statistical Society: Series C 1 min read · Sat, Aug 5 2023 Spotlight News New paper accepted: Yadav, R., Huser, R., Opitz, T., and Lombardo, L. (2023+), Joint modeling of landslide counts and sizes using spatial marked point processes with sub-asymptotic mark distributions, Journal of the Royal Statistical Society: Series C, to appear [ PDF preprint].
New paper accepted in The American Statistician 1 min read · Mon, Jul 31 2023 Spotlight News Bayes estimators Deep learning likelihood-free inference optimal inference spatial statistics New paper accepted: Sainsbury-Dale, M., Zammit-Mangion, A., and Huser, R. (2023+), Likelihood-free parameter estimation with neural Bayes estimators, The American Statistician, to appear [ PDF preprint].
Congratulations to Paolo and Yalla team for their success at the EVA2023 conference 1 min read · Thu, Jul 6 2023 News Spotlight We are thrilled to extend our warmest congratulations to Paolo Victor Redondo and Team Yalla for their outstanding achievements at the EVA 3023 conference! The event, which aims to bring together researchers in Extreme Value Theory (EVT), methods, and its applications, witnessed Paolo's remarkable win for the Best Poster Presentation and Team Yalla's triumphant victory in the EVA Data Competition. Paolo's Best Poster Presentation award demonstrates his commitment, hard work, and enthusiasm for EVT and biostatistics. His remarkable presenting abilities and groundbreaking work on brain
KAUST STAT Program graduates secure faculty positions at prominent U.S. universities 7 min read · Wed, Apr 19 2023 News KAUST graduates are characterized by the rigor of their Ph.D. programs, the long hours spent in the lab and classroom, juggling professional and personal commitments, achieving a work-life balance and, more recently, the ability to adapt to a global pandemic.
Congratulations to Matheus for successfully defending his PhD thesis 1 min read · Tue, Apr 4 2023 Spotlight News Left: Mathues and the beging of his defense, with Matheus (front) and Prof. Raphaël (right). Right: picture taken after the defense, with Matheus (center) and Prof. Raphael Huser (in his left side).
Congratulations to Yan for successfully defending her PhD thesis 1 min read · Tue, Mar 28 2023 Spotlight News Multivariate extremes extreme weather
KAUST Ph.D. student’s paper recognized by the American Statistical Association 2 min read · Mon, Mar 27 2023 News Spotlight KAUST Ph.D. statistics student Paolo Victor Redondo was selected as a runner-up in the American Statistical Association’s (ASA) Statistics in Imaging Section 2023 Distinguished Student Paper Award Competition
New paper accepted in Stat 1 min read · Sun, Mar 12 2023 Spotlight News New paper accepted: de Carvalho, M., Huser, R., and Rubio, R. (2023), Similarity-based clustering for patterns of extreme values, Stat 12, e560 [ journal][ PDF preprint].
Two new papers in Extremes 1 min read · Thu, Jan 19 2023 Spotlight News Two new papers accepted to the Extremes Special Issue on the EVA Data Competition: Zhang, Z., Krainski, E., Zhong, P., Rue, H., and Huser, R. (2023+), Joint modeling and prediction of massive Spatio-temporal wildfire count and burnt area data with the INLA-SPDE approach, Extremes, to appear [ PDF preprint]. Cisneros, D., Gong, Y., Yadav, R., Hazra, A., and Huser, R. (2022+), A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes, Extremes, to appear [ PDF preprint].
Professor Huser receives the Abdel El-Shaarawi Early Investigator Award 2022 2 min read · Sun, Nov 20 2022 Awards News KAUST Associate Professor of Statistics Raphaël Huser has been awarded the Abdel El-Shaarawi Early Investigator (AEEI) Award 2022 from The International Environmetrics Society (TIES), an association of the International Statistical Institute (ISI).
A skewed model for imbalanced health data 2 min read · Thu, Nov 10 2022 News An asymmetric statistical model provides a better fit for imbalanced data with rare "positives," such as longitudinal health datasets.
Flexible modeling of multivariate spatial extremes 1 min read · Sun, Oct 30 2022 News New paper accepted: Gong, Y., and Huser, R. (2022+), Flexible modeling of multivariate spatial extremes, Spatial Statistics, to appear [ PDF preprint].
New paper accepted in Electronic Journal of Statistics 1 min read · Fri, Oct 28 2022 Spotlight News Extreme-value model Kernel convolution process New paper accepted: Krupskii, P., and Huser, R. (2022+), Modeling spatial tail dependence with Cauchy convolution processes, Electronic Journal of Statistics, to appear [ PDF preprint].
Congratulations to Zhongwei for successfully defending his PhD thesis 1 min read · Tue, Oct 25 2022 Spotlight News Multivariate extremes extreme weather Left: Zhongwei before starting his PhD defense. Right: picture taken at the group dinner following the defense, with Zhongwei (center) and Prof. Raphael Huser (carrying a child next to Zhongwei)
New paper accepted in Biometrics 1 min read · Tue, Aug 2 2022 Spotlight News COVID-19 Markov models Asymmetric Correlated binary data New paper accepted: Zhang, Z., Arellano-Valle, R. B., Genton, M. G., and Huser, R. (2022+), Tractable Bayes of skew-elliptical link models for correlated binary data, Biometrics, to appear [ PDF preprint].
Extreme analysis of seizures 1 min read · Mon, Jun 27 2022 News neuroscience machine learning human health statistics CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data.
New paper accepted in Environmetrics - 2022 1 min read · Thu, May 19 2022 Spotlight News Statistics of extremes New paper accepted: Castro-Camilo, D., Huser, R., and Rue, H. (2022+), Practical strategies for GEV-based regression models for extremes, Environmetrics, to appear [ PDF preprint]
A flexible Bayesian hierarchical modeling framework for spatially dependent peaks-over-threshold data 1 min read · Wed, May 11 2022 News Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies without methodological development are not acceptable for publication.
Raphaël Huser promoted to Associate Professor of Statistics (effective July 1st, 2022) 1 min read · Wed, Apr 6 2022 Spotlight News
Congratulations to Rishikesh for successfully defending his PhD thesis 1 min read · Tue, Apr 5 2022 Spotlight News Left: Rishikesh before starting his PhD defense. Right: picture taken at a group dinner with Rishikesh (center) and Prof. Raphael Huser (carrying a child next to Rishikesh)
Congratulations to Xuanjie for successfully defending his MS thesis 1 min read · Tue, Apr 5 2022 Spotlight News Statistics of extremes Picture taken at a group dinner, with Xuanjie (front row, 5th from the right) and Prof. Raphaël Huser (center, carrying a child)
Congratulations to Peng for successfully defending his PhD thesis 1 min read · Mon, Apr 4 2022 Spotlight News Spatial extremes Title page of PhD defense slides Group picture with Peng (center), Prof. Raphael Huser (3rd from right), after Peng's defense
Getting the tail straight 1 min read · Sun, Apr 3 2022 News Environmental Statistics big data modeling statistics KAUST’s Extreme Statistics Group has developed an improved statistical model for analyzing environmental data of extreme events, such as heavy rainfall or strong wind data.
New paper accepted in Annals of Applied Statistics 1 min read · Wed, Mar 9 2022 Spotlight News New paper accepted: Guerrero, M. B., Huser, R., and Ombao, H. (2022+), Conex-Connect: Learning patterns in extremal brain connectivity from multi-channel EEG data, Annals of Applied Statistics, to appear [ PDF preprint].
Decrypting the interdependence of cryptocurrencies 1 min read · Tue, Mar 1 2022 News big data modeling statistics A team of KAUST statisticians has analyzed the price movements of the top five cryptocurrencies to further understand their market behavior. Their model will help investors assess the risks of investing in cryptocurrencies.
New paper accepted 1 min read · Tue, Mar 1 2022 Spotlight News statistics Spatial extremes Max-stable process Exact simulation New paper accepted: Zhong, P., Huser, R., and Opitz, T. (2022+), Exact simulation of max-infinitely divisible processes, Econometrics and Statistics [ arXiv][ PDF preprint ].
New book chapter accepted 1 min read · Tue, Jan 4 2022 Spotlight News statistics Spatial extremes New book chapter accepted: Hazra, A., Huser, R. , and Jóhannesson, Á. V. (2021+), Bayesian l atent Gaussian models for high-dimensional spatial extremes , In Statistical Modeling Using Bayesian Latent Gaussian Models – With Applications in Geophysics and Environmental Sciences, editor B. Hrafnkelsson, Springer, to appear [ arXiv ][ PDF preprint ].
New paper accepted in Extremes 1 min read · Sat, Dec 11 2021 Spotlight News spatio-temporal statistics extreme weather New paper accepted: Zhang, Z., Huser, R., Opitz, T., and Wadsworth, J. L. (2021+), Modeling spatial extremes using normal mean-variance mixtures, Extremes, to appear [ arXiv][ PDF preprint]
Congratulations to Arnab for his new position as Assistant Professor at the Indian Institute of Technology Kanpur 1 min read · Sat, Nov 20 2021 Spotlight News
Asymmetric tail dependence modeling, with application to cryptocurrency market data 1 min read · Fri, Nov 5 2021 News New paper accepted: Gong, Y., and Huser, R. (2021+), Asymmetric tail dependence modeling, with application to cryptocurrency market data , Annals of Applied Statistics [ arXiv][ PDF preprint ].
High-resolution Bayesian mapping of landslide hazard with unobserved trigger event 1 min read · Mon, Oct 18 2021 News landslide INLA Log-Gaussian Cox process New paper accepted: Opitz, T., Bakka, H., Huser, R. , and Lombardo, L. (2021+), High-resolution Bayesian mapping of landslide hazard with unobserved trigger event , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ].
Heatwave model shows it is hotter in more places, more often 1 min read · Sun, Sep 12 2021 News extreme weather climate change statistics New modeling shows that heatwaves across Europe have increased in both frequency and spatial extent over the past century.
Approximate Bayesian inference for analysis of spatio-temporal flood frequency data 1 min read · Thu, Aug 5 2021 News Statistics of extremes Spatial extremes extreme weather New paper accepted : Jóhannesson, Á. V., Siegert, S., Huser, R. , Bakka, H., and Hrafnkelsson, B. (2021+), Approximate Bayesian inference for analysis of spatio-temporal flood frequency data , Annals of Applied Statistics, to appear [ arXiv][ PDF preprint ]
Modeling non-stationary temperature maxima based on extremal dependence changing with event magnitude 1 min read · Thu, Jun 17 2021 News Statistics of extremes Spatial extremes extreme weather New paper accepted: Zhong, P., Huser, R., and Opitz, T. (2021+), Modeling non-stationary temperature maxima based on extremal dependence changing with event magnitude, Annals of Applied Statistics [ arXiv][ PDF preprint].
Predicting future hotspots in the Red Sea 1 min read · Thu, Apr 8 2021 News big data Red Sea climate science statistics Predicting areas of the Red Sea most susceptible to overheating by the end of the century could help conservation efforts to protect its precious coral reefs.
Modeling the neighborhood boosts landslide prediction 1 min read · Sun, Dec 13 2020 News statistics extreme statistics A prediction model that considers multiple landslides over time in a given region may improve the accuracy of early warning systems.
Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model 1 min read · Fri, Nov 6 2020 News statistics Spatial extremes Red Sea New paper accepted: Hazra, A., and Huser, R. (2020+), Estimating high-resolution Red Sea surface temperature hotspots, using a low-rank semiparametric spatial model, Annals of Applied Statistics [ PDF preprint].
New paper accepted in Environmetrics 2020 1 min read · Wed, Oct 21 2020 Spotlight News Statistics of extremes New paper accepted: Yadav, R., Huser, R. , and Opitz, T. (2020+), Spatial hierarchical modeling of threshold exceedances using rate mixtures , Environmetrics, to appear [ PDF preprint ].
Today we celebrate World Statistics Day! 1 min read · Tue, Oct 20 2020 News statistics healthcare Let’s discover the world of the statisticians at KAUST and be ready to be amazed by their cutting-edge research!
New paper accepted in Wiley Interdisciplinary Reviews (WIREs): Computational Statistics. 1 min read · Wed, Oct 7 2020 Spotlight News statistics computational statistics New paper accepted: Huser, R. , and Wadsworth, J. L. (2020+), Advances in statistical modeling of spatial extremes , Wiley Interdisciplinary Reviews (WIREs): Computational Statistics, to appear [ PDF preprint ].
New paper accepted in the Scandinavian Journal of Statistics (SJS) 1 min read · Wed, Aug 26 2020 Spotlight News New paper accepted: Huser, R. , Opitz, T., and Thibaud, E. (2020+), Max-infinitely divisible models and inference for spatial extremes , Scandinavian Journal of Statistics, to appear [journal][ PDF preprint ]
New paper accepted in Earth Science Reviews (ESR) 1 min read · Thu, Aug 6 2020 Spotlight News extreme weather statistics New paper accepted: Lombardo*, L., Opitz, T., Ardizzone, F., Guzzetti, F., and Huser, R. (2020+), Space-time landslide predictive modelling, Earth Science Reviews, to appear [PDF preprint]
A sharper view of flood risk 1 min read · Sun, Jun 7 2020 News extreme events climate science statistics Extreme weather patterns and regions at risk of flooding could be easier to spot using a new statistical model for large spatial datasets.
New paper accepted in Bayesian Analysis 1 min read · Mon, May 25 2020 Spotlight News statistics Bayesian Statistics New paper accepted: Hrafnkelsson, B., Siegert, S., Huser, R., Bakka, H., and Jóhannesson, Á. V. (2020+), Max-and-Smooth: a two-step approach for approximate Bayesian inference in latent Gaussian models, Bayesian Analysis, to appear [ arXiv].
A hierarchical max-infinitely divisible spatial model for extreme precipitation 1 min read · Mon, Mar 23 2020 News Spatial extremes Max-infinitely New paper accepted: Bopp, G., Shaby, B., and Huser, R. (2020+), A hierarchical max-infinitely divisible spatial model for extreme precipitation, Journal of the American Statistical Association [arXiv][PDF].
Prof. Raphaël Huser now serving as AE for the journal Environmetrics 1 min read · Mon, Mar 16 2020 Spotlight News statistics Spatial extremes Prof. Raphaël Huser has been appointed to serve as an Associate Editor for Environmetrics, the Journal of The International Environmetrics Society ( TIES), starting on March 16, 2020.
Prof. Raphaël Huser now serving as AE for the Journal of the Korean Statistical Society 1 min read · Fri, Jan 3 2020 Spotlight News extSTAT Research Group Prof. Raphaël Huser has been appointed to serve as an Associated Editor for the Journal of the Korean Statistical Society ( JKSS) starting on January 1, 2020.
A second wind for turbine design 1 min read · Sun, Dec 8 2019 News renewable energy wind energy statistics Better prediction of extreme winds at sparsely observed locations could help optimize the design of wind farms.
Shaking up the landslide model 2 min read · Thu, Oct 24 2019 News disaster management Environmental Statistics statistics Areas without earthquake monitoring systems could model the tremors by using data from local landslides.
Expanding the scale of dangerous weather prediction 1 min read · Sun, Sep 29 2019 News Environmental Statistics A more accurate and efficient method of capturing the local factors that lead to extreme rainfall enables better flood prediction across larger regions.
KAUST Assistant Professor Raphaël Huser receives American Statistical Association award 1 min read · Tue, Sep 3 2019 News Statistics of extremes spatio-temporal statistics copulas KAUST Assistant Professor Raphaël Huser recently received the American Statistical Association's (ASA) 2019 Section on Statistics and the Environment (ENVR) Early Investigator Award for his outstanding contributions to environmental statistics. He accepted the award at the 2019 Joint Statistical Meetings held in Denver, Colorado, U.S., from July 27 to August 1.
Congratulations to Daniela for her new position as Lecturer in Statistics at the University of Glasgow 1 min read · Mon, Aug 19 2019 News Spotlight
New paper accepted in JCGS 1 min read · Wed, Jul 17 2019 News Statistics of extremes New accepted paper: Vettori, S., Huser, R., Segers, J., and Genton, M. G. (2019+), Bayesian model averaging over tree-based dependence structures for multivariate extremes, Journal of Computational and Graphical Statistics, to appear.
Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes 1 min read · Thu, Jul 4 2019 News Spatial extremes New accepted paper: Castro Camilo, D., and Huser, R. (2019+), Local likelihood estimation of complex tail dependence structures, applied to U.S. precipitation extremes, Journal of the American Statistical Association, to appear.
New paper accepted in JGR - Earth Surface 1 min read · Tue, Jun 25 2019 Spotlight News Statistics of extremes Bayesian Statistics New accepted paper: Lombardo, L., Bakka, H., Tanyas, H., van Westen, C., Mai, P. M., and Huser, R. (2019+), Geostatistical modeling to capture seismic-shaking patterns from earthquake-induced landslides, Journal of Geophysical Research-Earth Surface [ PDF preprint]
New paper accepted in JABES 1 min read · Tue, Jun 25 2019 Spotlight News extreme weather spatio-temporal statistics Statistics of extremes New accepted paper: Castro-Camilo, D., Huser, R., and Rue, H. (2019+), A spliced Gamma-generalized Pareto model for short-term extreme wind speed probabilistic forecasting, Journal of Agricultural, Biological and Environmental Statistics, to appear [ PDF preprint]
Prof. Raphaël Huser now serving as AE of Econometrics and Statistics 1 min read · Thu, May 2 2019 Spotlight News Spatial extremes statistics Statistics of extremes Prof. Raphaël Huser has been appointed to serve as an Associate Editor for the Econometrics and Statistics ( EcoSta) part B (Statistics) starting from May 2019.
Raphaël Huser’s article among the top downloaded articles in Springer’s Environmental Sciences Journals 1 min read · Tue, Jan 22 2019 News INLA statistics xstat research highlights Luigi Lombardo, Thomas Opitz, and Raphaël Huser’s article “Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster”, published in the scientific journal Stochastic Environmental Research and Risk Assessment (SERRA), in July 2018, is among the top downloaded articles in Springer’s Environmental Sciences Journals for the year 2018. Huser is an Assistant Professor of statistics in the CEMSE division and principal investigator of the Extreme Statistics (extSTAT) Research Group at KAUST.
KAUST students participate in Europe’s leading hackathon event 2 min read · Thu, Jan 3 2019 Awards Torsten Hädrich and Yan Gong, two KAUST Ph.D. students from the University's Computer, Electrical and Mathematical Science and Engineering division, recently represented KAUST at the 48-hour international hackathon event Junction 2018. The event, which is Europe's most prestigious annual hackathon, brought computer and data scientists to Helsinki, Finland, from November 23 to 25, 2018, with the goal of addressing real-world computational issues while inspiring the next generation of technological leaders. Around 1,000 participants—including developers, designers and other "tech-heads" from 105
Prof. Raphaël Huser appointed to serve as AE for JABES 1 min read · Tue, Jan 1 2019 Spotlight News statistics Prof. Raphaël Huser has been appointed to serve as an Associate Editor for the Springer Journal of Agricultural, Biological and Environmental Statistics ( JABES, 2017 Impact Factor: 1.072) starting from January 2019 . JABES publishes papers that introduce new statistical methods to solve practical problems in the agricultural sciences, the biological sciences, and the environmental sciences.
2018 Workshop on Statistics and Data Science 1 min read · Sat, Nov 10 2018 News statistics data analysis The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). Details on the workshop (speakers, abstracts and schedule) can be found here.
Nadhir Ben Rached succesfully defended his PhD Thesis 2 min read · Tue, Oct 9 2018 News The probability that a sum of random variables (RVs) exceeds (respectively falls below) a given threshold, is often encountered in the performance analysis of wireless communication systems. Generally, a closed-form expression of the sum distribution does not exist and a naive Monte Carlo (MC) simulation is computationally expensive when dealing with rare events.
Congratulations to Luigi for his new position as Assistant Professor of Applied Soil Science at the University of Twente 1 min read · Sun, Oct 7 2018 Spotlight News
How extreme weather exacerbates air pollution 1 min read · Tue, Sep 4 2018 News statistics extreme weather air pollution xstat research highlights Simultaneously modeling of air pollutants and weather under extreme conditions highlights the potential for serious health risks.
Point patterns help to predict landslides 1 min read · Sun, May 20 2018 News computing earth science statistics Environmental Statistics Rainfall simulations in statistical models could allow accurate prediction of dangerous landslides.
Students shine on the statistics stage 2 min read · Mon, Apr 2 2018 News Spotlight Statistics of extremes Environmental Statistics spatial statistics KAUST Ph.D. alumna Sabrina Vettori and Ph.D. student Yuxiao Li have been selected by the Eastern North American Region (ENAR) of the International Biometric Society to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting.
Challenging statistics of weather extremes 1 min read · Sun, Feb 25 2018 News statistics climate science weather More accurate statistical modeling of extreme weather will improve forecasting and disaster mitigation.
Best 2016 Paper in the Journal of Agricultural, Biological and Environmental Statistics 1 min read · Mon, Jan 15 2018 Spotlight News statistics spatial statistics Spatial extremes Professor Huser will present the work in a special invited session (JABES showcase) at the International Biometric Conference taking place in Barcelona, Spain, in July 2018.
PhD student Sabrina Vettori selected for an ENAR Distinguished Student Paper Award. Congrats! 1 min read · Tue, Dec 5 2017 News Spotlight statistics air pollution PhD student Sabrina Vettori has been selected by the International Biometric Society Eastern North American Region (ENAR) to receive a Distinguished Student Paper Award at the 2018 ENAR Spring Meeting in Atlanta ( https://www.enar.org/meetings/spring2018/index.cfm ) for her manuscript entitled " Bayesian Hierarchical Modelling of Air Pollution Extremes Using Multivariate Max-Stable Processes ". She will present her work at an oral contributed paper session, be invited to attend the ENAR President’s reception and publicly receive their award at the beginning of the ENAR President’s Invited
2017 Workshop Modern Statistics for Complex Data Structures 1 min read · Sun, Nov 12 2017 Spotlight News statistics 2017 Workshop Modern Statistics for Complex Data Structures
Congratulations to Sabrina for successfully defending her PhD thesis 1 min read · Sun, Oct 22 2017 News
KAUST Ph.D. student wins American Statistical Association paper competition 1 min read · Thu, Sep 14 2017 Awards News Spotlight student award Sabrina Vettori, a Ph.D. student co-supervised by KAUST Distinguished Professor Marc Genton, who leads the Spatio-Temporal Statistics & Data Science group, and KAUST Assistant Professor Raphaël Huser, who leads the Extreme Statistics Research Group, won the 2017 Student Paper Competition sponsored by the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA). Eligible papers focused on environmental statistics, and the four competition winners presented their papers at an ENVR-sponsored session at the 2017 Joint Statistical Meetings (JSM), held from
Letting the data speak for itself 1 min read · Sun, Sep 3 2017 News statistics climate science extreme events A new statistical approach for environmental measurements lets the data determine how to model extreme events.
Going to extremes to predict natural disasters 1 min read · Sat, Jul 8 2017 News simulation statistics A systematic approach to selecting and configuring statistical models improves predictions of extreme events.
Soumaya ElKantassi successfully defended her MS Thesis 1 min read · Sun, Apr 16 2017 News On April 12th, 2017, Soumaya ElKantassi successfully defended her MS Thesis entitled "Probabilistic Forecast of Wind Power Generation by Stochastic Differential Equation Models".
Improving connections for spatial analysis 1 min read · Sat, Mar 4 2017 News statistics computing applied mathematics A statistical model that accounts for common dependencies in spatial data yields more realistic results for studies of temperature, wind and pollution levels.
Giving power to demand-driven electricity 1 min read · Sat, Feb 4 2017 News applied mathematics computational science computing Computer science A new approach to analyzing household electricity: smart-meter data could improve the performance and efficiency of national power grids.
PhD student Sabrina Vettori selected for an ENVR Student Paper Award. Congrats! 1 min read · Sun, Dec 18 2016 News Spotlight Spatial extremes extreme-value theory PhD student Sabrina Vettori has been selected to receive a Best Student Paper Award from the Section on Statistics and the Environment (ENVR) of the American Statistical Association (ASA) for her manuscript entitled "Bayesian clustering and dimension reduction in air pollutant multivariate extremes".
Prof. Raphaël Huser is an Elected Member of ISI 1 min read · Fri, Dec 16 2016 Spotlight News Statistics of extremes
CEMSE Big Data Open Day shows off fascinating discoveries 4 min read · Thu, Dec 8 2016 News big data machine learning knowledge discovery supercomputing The fifth-anniversary event marked CEMSE's biggest successes and featured 20 KAUST discoveries, with more than 1,000 visitors from the community attending the event."Big data has many applications: to understand medicine better; to manage food supplies, and to connect objects. Data is at the center of everything," said Dean Mootaz Elnozahy of the University's Computer, Electrical, Mathematical Science and Engineering (CEMSE) Division at the CEMSE Big Data Open Day held on December 4, 2016.
Prof. Benjamin Shaby (Penn State University, USA) visits extSTAT 1 min read · Sun, Nov 20 2016 Spotlight News Spatial extremes extreme-value theory Statistics of extremes Prof. Ben Shaby is an Assistant Professor in the Statistics Department and the Institute for CyberScience at Penn State, where he started in 2013. Before that, he was a postdoc with Cari Kaufman at UC Berkeley. Previous stop was in Durham at the Statistics and Applied Mathematical Institute (SAMSI) and Duke University. He did his Ph.D. work in Statistics at Cornell University with David Ruppert and Marty Wells. Before starting at Cornell, he spent his undergrad years at Stanford (go Cardinal!). He then spent two great years working for Chris Field at the Carnegie Institution's Department of
2016 Workshop Statistics for High-Dimensional & Complex Data 1 min read · Mon, Oct 31 2016 News statistics Workshop on Statistics for High-Dimensional and Complex Data, Nov. 6-9, 2016 Organizers : Prof. Marc G. Genton, Chair of Spatio-Temporal Statistics and Data Science Group Prof. Raphael Huser, Chair of Extreme Statistics Group Prof. Ying Sun, Chair of Environmental Statistics Group Confirmed speakers: Prof. David Bolin, Chalmers University of Technology, Sweden Prof. Probal Chaudhuri, Indian Statistical Institute, India Prof. Dan Cooley, Colorado State University, USA Prof. Subhajit Dutta, IIT Kanpur, India Prof. Amanda Hering, Baylor University, USA Dr. Anna Kiriliouk, Université
Prof. Miguel de Carvalho and Rodrigo Rubio (PUC, Chile) visit extSTAT 1 min read · Fri, Jul 15 2016 News Statistics of extremes Prof. Miguel Carvalho holds a research and teaching positions at PUC Chile, EPFL, Banco de Portugal, and UNL. He is an applied mathematical statistician with a variety of research interests including, inter alia, statistical inferences for small-probability events, geometrical statistics, methods for data visualization and graphical learning, econometrics, and medical diagnostic assessment.
Getting a handle on extremes 1 min read · Sat, Jun 18 2016 News statistics applied mathematics By tapping into the power of extreme value theory, an international team of researchers including Raphaël Huser from the University's Computer, Electrical and Mathematical Science and Engineering Division has developed a statistical model that overcomes the shortcomings of previous schemes to provide a reliable basis for climate research and the prediction of drought and flood. The model can accurately describe observed rainfall data and reliably predict the likelihood of future extreme events. The analysis of hourly or daily rainfall data presents many challenges for researchers and
Postdoc Luigi Lombardo gets an Outstanding Student Poster and PICO EGU Award. Congratulations Luigi! 1 min read · Tue, May 24 2016 Spotlight News statistics landslide susceptibility modeling The 2016 Outstanding Student Poster and PICO (OSPP) Award is awarded to Luigi Lombardo for the poster/PICO entitled Landslide triggering-thickness susceptibility, a simple proxy for landslide hazard? A test in the Mili catchment (North-Eastern Sicily, Italy). Regarding his work, Luigi said: " In the PICO presentation project we modeled the thickness at the crown of each landslide as the dependent variable. As a result, the predictive maps carried more information than classic susceptibility ones, enabling a better proxy to hazard prediction." You can find Luigi's poster here.
Dr. Sebastian Engelke (EPFL) visits extSTAT 1 min read · Thu, Dec 17 2015 Spotlight News Spatial extremes extreme-value theory Sebastian is an Ambizione fellow at EPF Lausanne with Anthony Davison. Sebastian did his studies in Mathematics at University of Göttingen and UC Berkeley, and he finished his PhD as a Deutsche Telekom Foundation fellow in 2013 at the University of Göttingen with Martin Schlather. His research interests are in extreme value theory, spatial statistics, graphical models and data science.
2015 Workshop on Computational Space-Time Statistics 1 min read · Sun, Oct 4 2015 Spotlight News statistics spatio-temporal statistics Bayesian computational statistics Organizers : Prof. Marc G. Genton , Chair of Spatio-Temporal Statistics and Data Science Group Prof. Raphael Huser, Chair of Extreme Statistics Group Prof. Ying Sun, Chair of Environmental Statistics Group Confirmed speakers: Prof. Sudipto Banerjee, University of California Los Angeles, USA Prof. Souhaib Ben Taieb, Monash University, Australia Prof. Stefano Castruccio, Newcastle University, UK Prof. Miguel de Carvalho, Pontificia Universidad Catolica de Chile, Chile Prof. Clément Dombry, University of Franche-Comté , France Prof. Xuming He, University of Michigan, USA Prof. Hsin-Cheng Huang
Prof. Raphaël Huser wins the Lambert Award 2015 1 min read · Tue, Aug 25 2015 Spotlight News extreme weather Statistics of extremes extreme-value theory The Swiss Statistical Society (SSS) has established since 2013 the Johann Heinrich Lambert Award to recognize the work of young statisticians. The Lambert Award consists of a certificate and 1'000 Swiss Francs. It entitles to a plenary talk at the `Swiss Statistics Meeting'.
The Lambert Award for Young Statisticians Goes To Raphael Huser 3 min read · Tue, Aug 25 2015 Spotlight News Statistics of extremes spatio-temporal statistics copulas Today Raphael Huser, Assistant Professor at King Abdullah University of Science and Technology (KAUST), received the Lambert Award for Young Statisticians for his contribution in modeling the distribution of extreme weather events.
Dr. Raphaël Huser wins the EPFL Doctorate award 2014 1 min read · Fri, Oct 3 2014 Spotlight News Risk assessment for extremes of natural phenomena has become increasingly important, and over the past few years the scientific community has realized the importance of considering the spatial or spatio-temporal extent of extreme events. The extreme-value distributions play an important role in the statistical modeling of extremes at individual locations, but for risk assessment it is crucial to assess dependence between extremes at locations: if dependence is strong, rare events might occur simultaneously at many different locations, thereby increasing the overall risk. In this thesis, new
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