copulas

The Lambert Award for Young Statisticians Goes To Raphael Huser

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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.

KAUST Assistant Professor Raphaël Huser receives American Statistical Association award

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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.

Yan Gong

Ph.D. Student, Statistics
Yan Gong was a Ph.D. student in Statistics at the King Abdullah University of Science and Technology (KAUST), under the supervision of Prof. Raphaël Huser. Yan successfully defended her PhD thesis entitled " Flexible Multivariate, Spatial, and Causal Models for Extremes" on March 28th, 2023; see her PhD thesis here. Her PhD committee was composed of Professors Raphaël Huser (chair), Valérie Chavez-Demoulin (external examiner from HEC Lausanne at UNIL, Switzerland), David Bolin, and Mohammed-Slim Alouini. For her next career steps, Yan has accepted a short-term postdoctoral research position at

Raphaël Huser

Associate Professor, Statistics
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.

Pavel Krupskiy

Postdoctoral Research Fellow, Statistics
Krupskiy, Pavel Postdoctoral Fellows ​​Ph.D. 2014, University of British Columbia, Canada​​ Now Assistant Professor at University of Melbourne Education ​ Ph.D. in Statistics 2014, University of British Columbia, Canada M.A. in Economics 2009, New Economic School, Russia B.Sc. in Mathematics 2006, Lomonosov Moscow State University, Russia Research interests copulas, multivariate extremes, nonparametric statistics, spatial data

Bingqing Yi

Consultant, Statistics
Bingqing Yi is a PhD graduate from University of Pau and the University of Melbourne and is working with the XSTAT group as a remote consultant. Education and Early Career Bingqing Yi obtained his Bachelor of Statistics from Zhongnan University of Economics and Law in 2013, Wuhan, China, and his Master of Statistics from the Australian National University. Then, he obtained his joint PhD from the University of Pau and the University of Melbourne in 2023. Research interests Bingqing Yi's research interests focus primarily on copula theory, empirical processes and resampling techniques.