About Peng Zhong Peng Zhong Ph.D. Student, Statistics spatial statistics extreme-value theory spatio-temporal statistics computational statistics Peng Zhong was a Ph.D. student in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser. Peng successfully defended his PhD thesis entitled " Modeling and Simulation of Spatial Extremes Based on Max-Infinitely Divisible and Related Processes" on April 4th, 2022; see his PhD thesis here. His PhD committee was composed of Professors Raphaël Huser (chair), Daniel Cooley (external examiner from Colorado State University, US), Marc Genton, and Ajay Jasra. For his next career steps, Peng has accepted a postdoctoral fellowship Articles Related News January 2024 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] 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] 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]. April 2022 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 March 2022 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 ]. 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. 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]. December 2018 Students Peng Zhong and Rustam Bekishev get their MS degree 1 min read · Fri, Dec 14 2018 News statistics 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!
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 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]
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].
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
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 ].
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.
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].
Students Peng Zhong and Rustam Bekishev get their MS degree 1 min read · Fri, Dec 14 2018 News statistics 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!
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