About Zhongwei Zhang Zhongwei Zhang Ph.D. Student, Statistics Statistics of extremes graphical models spatial statistics Zhongwei Zhang was a Ph.D. student in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser. Zhongwei successfully defended his PhD thesis entitled " Flexible Extremal Dependence Models for Multivariate and Spatial Extremes" on October 25th, 2022; see his PhD thesis here. His PhD committee was composed of Professors Raphaël Huser (chair), Jonathan Tawn (external examiner from Lancaster University, UK), David Bolin, and Ajay Jasra. For his next career steps, Zhongwei has accepted a postdoctoral position at the University of Articles Related News 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 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 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]. April 2022 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. 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]
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].
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.
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].
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 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]
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