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个人简介
Martin Wells' research interests center on applied and theoretical statistics and sometimes cross the boundary into applied probability. He has worked on inference questions in credit risk, economic damages, epidemiology, finance (physical and risk neutral worlds), graphical models, legal studies, microarrays, proteomics, quantitative trait loci, extremes, data networks and has considered estimation problems for heavy-tailed phenomena. His theoretical research has focused on Bayesian statistics, biostatistics, conditional inference, evidence assessment, functional data, hypothesis testing, saddlepoint approximations, and shrinkage estimation.
研究兴趣
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Pruthvi Patel,Martin T Wells,Elaine Wethington,Martin Shapiro, Yasir Parvez,Shashi N Kapadia,Andrew H Talal
medRxiv : the preprint server for health sciences (2024)
Peiyu Xu, Shenni Liang, Andrew Hahn, Vivian Zhao, Wai Tung 'Jack' Lo, Benjamin C Haller,Benjamin Sobkowiak, Melanie H Chitwood,Caroline Colijn,Ted Cohen,Kyu Y Rhee, Philipp W Messer,
bioRxiv : the preprint server for biology (2024)
JAMA oncologyno. 4 (2024): 539-540
Research square (2024)
JAMA network openno. 8 (2023): e2327326-e2327326
arXiv (Cornell University) (2023)
arXiv (Cornell University) (2023)
Data Science in Scienceno. 1 (2023)
JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCEpp.1-12, (2023)
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