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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.
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论文共 338 篇作者统计合作学者相似作者
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Pruthvi Patel,Martin T Wells,Elaine Wethington,Martin F Shapiro, Yasir Parvez,Shashi N Kapadia,Andrew H Talal
medrxiv(2024)
Research square (2024)
JAMA oncologyno. 4 (2024): 539-540
JAMA network openno. 8 (2023): e2327326-e2327326
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arXiv (Cornell University) (2023)
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AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGYno. 3 (2023): 276-282
INTERNATIONAL JOURNAL OF THEORETICAL AND APPLIED FINANCEno. 04N05 (2023)
Data Science in Scienceno. 1 (2023)
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JAPANESE JOURNAL OF STATISTICS AND DATA SCIENCEpp.1-12, (2023)
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