Areas without earthquake monitoring systems could model the tremors by using data from local landslides.
The 3 faculty positions are in the Statistics Program (http://stat.kaust.edu.sa) within the Computer, Electrical, and Mathematical Sciences and Engineering Division. Currently, the Statistics Program has 7 core faculty and 10 affiliated faculty. We are primarily interested in applicants with strong background in one of the following areas: (1) Statistical Data Science and AI, including network data analysis and high-dimensional statistics (https://apply.interfolio.com/69165); (2) Statistical Climatology, with expertise in statistical analysis of climate model output data, in particular regional climate models, and in physical systems (https://apply.interfolio.com/69167); (3) Statistics for Public Health, including smart health data analysis, personalized medicine, and disease mapping (https://apply.interfolio.com/69168).
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 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.
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.
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 accepted paper: Lombardo, L., Bakka, H., Tanyas, H., van Westen, C., Mai, P.
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.
Professor Birgir Hrafnkelsson from the Department of Mathematics at the University of Iceland, will visit extSTAT during February 24-March 2, 2019. His research interests include Bayesian hierarchical modeling, spatial statistics, spatio-temporal modeling, extreme value analysis and statistical modeling of environmental data.
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.
On December 14, 2018, KAUST welcomed 243 graduates at the University’s ninth Commencement ceremony. Among them, students Rustam Bekishev and Peng Zhong, who is now a Ph.D. student In Statistics in our group, got their MS degree. Congratulations!
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.
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.
More accurate statistical modeling of extreme weather will improve forecasting and disaster mitigation.