Yan Gong

20212022202320241 9 21 10

Raphaël HuserAssociate Professor, King Abdullah University of Science and Technology (KAUST)Verified email at kaust.edu.sa
Arnab HazraAssistant Professor, Indian Institute of Technology KanpurVerified email at iitk.ac.in
Daniela CisnerosKAUSTVerified email at kaust.edu.sa
Rishikesh YadavPostdoc at HEC Montreal and McGillVerified email at hec.ca
Thomas OpitzResearcher, French National Institute of Agronomic ResearchVerified email at inra.fr
Peng ZhongPostdoc Fellow at UNSWVerified email at unsw.edu.au
Jordan RichardsLecturer of Statistics, University of EdinburghVerified email at ed.ac.uk
Guerrero, M. B.California State University FullertonVerified email at fullerton.edu

Yan Gong

Postdoctoral Research Fellow, Harvard T.H. Chan School of Public Health

Verified email at hsph.harvard.edu - Homepage


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A combined statistical and machine learning approach for spatial prediction of extreme wildfire frequencies and sizes D Cisneros, Y Gong, R Yadav, A Hazra, R Huser Extremes 26 (2), 301, 2023	20	2023
Asymmetric tail dependence modeling, with application to cryptocurrency market data Y Gong, R Huser Annals of Applied Statistics 16 (3), 1822-1847, 2022	18	2022
Partial tail-correlation coefficient applied to extremal-network learning Y Gong, P Zhong, T Opitz, R Huser Technometrics, 1-25, 2024	4	2024
Flexible Modeling of Multivariate Spatial Extremes Y Gong, R Huser Spatial Statistics 52, 100713, 2022	1	2022
Modern extreme value statistics for Utopian extremes J Richards, N Alotaibi, D Cisneros, Y Gong, MB Guerrero, P Redondo, ... arXiv preprint arXiv:2311.11054, 2023		2023

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