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 Events Presented Events Oct 23 - Oct 29, 2022 Flexible Extremal Dependence Models for Multivariate and Spatial Extremes Zhongwei Zhang, Ph.D. Student, Statistics Oct 25, 15:00 - 18:00 B5 L5 R5220 Statistics of extremes spatial statistics This dissertation consists of four major contributions to subasymptotic modeling of multivariate and spatial extremes. The dissertation proposes a multivariate skew-elliptical link model for correlated highly-imbalanced (extreme) binary responses, and shows that the regression coefficients have a closed-form unified skew-elliptical posterior with an elliptical prior.
Flexible Extremal Dependence Models for Multivariate and Spatial Extremes Zhongwei Zhang, Ph.D. Student, Statistics Oct 25, 15:00 - 18:00 B5 L5 R5220 Statistics of extremes spatial statistics This dissertation consists of four major contributions to subasymptotic modeling of multivariate and spatial extremes. The dissertation proposes a multivariate skew-elliptical link model for correlated highly-imbalanced (extreme) binary responses, and shows that the regression coefficients have a closed-form unified skew-elliptical posterior with an elliptical prior.
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