Trevor Hastie

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	전체	2020년 이후
서지정보	381759	161684
h-index	159	112
i10-index	440	320

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Robert TibshiraniProfessor of Biomedical Data Sciences, and of Statistics, Stanford Universitystanford.edu의 이메일 확인됨
Jerome Friedmanstanford.edu의 이메일 확인됨
Gareth JamesDean of Goizueta Business School, Emoryemory.edu의 이메일 확인됨
Daniela WittenProfessor of Statistics & Biostatistics, Dorothy Gilford Endowed Chair, University of Washingtonu.washington.edu의 이메일 확인됨
Balasubramanian NarasimhanSenior Research Scientist, Department of Biomedical Data Sciences and Department of Statisticsstanford.edu의 이메일 확인됨
Gilbert ChuStanford Universitystanford.edu의 이메일 확인됨
Hui ZouUniversity of Minnesotaumn.edu의 이메일 확인됨
David BotsteinPrinceton Universityprinceton.edu의 이메일 확인됨
B EfronProfessor of statistics, Stanford Universitystat.stanford.edu의 이메일 확인됨
Matt van de RijnProfessor of Pathology, Stanford Universitystanford.edu의 이메일 확인됨
Saharon RossetTel Aviv Universitypost.tau.ac.il의 이메일 확인됨
Jane ElithProfessor, University of Melbourneunimelb.edu.au의 이메일 확인됨
Michael B. EisenInvestigator, HHMI and Associate Professor of Molecular and Cell Biology, UC Berkeleyberkeley.edu의 이메일 확인됨
Andreas BujaProfessor of Statistics, The Wharton School, University of Pennsylvaniawharton.upenn.edu의 이메일 확인됨
Therese SørlieDep. of Cancer Genetics, Inst. for Cancer Research, Oslo University Hospitalrr-research.no의 이메일 확인됨
Charles M. PerouUniversity of North Carolina at Chapel Hillmed.unc.edu의 이메일 확인됨
Rahul MazumderMassachusetts Institute of Technologymit.edu의 이메일 확인됨
john leathwickPrincipal Science Advisor, Department of Conservation, NZdoc.govt.nz의 이메일 확인됨
Will FithianAssistant Professor in Statistics, University of California Berkeleyberkeley.edu의 이메일 확인됨
Kenneth ChurchNortheastern Universitynortheastern.edu의 이메일 확인됨

팔로우

Trevor Hastie

Professor of Statistics, Stanford University

stanford.edu의 이메일 확인됨 - 홈페이지

Statistical learning and modeling data mining machine learning


제목 서지정보순 정렬 연도순 정렬 제목순 정렬	인용 인용	연도
Elements of Statistical Learning F Hastie, Tibshirani https://link.springer.com/content/pdf/10.1007/978-0-387-84858-7.pdf, 2001	87710*	2001
Introduction to Statistical Learning T James, Witten, Hastie https://www-springer-com.stanford.idm.oclc.org/us/book/9781461471370, 2013	26331*	2013
Generalized Additive Models THR Tibshirani	24440*	1990
Regularization and variable selection via the elastic net H Zou, T Hastie Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2005	22564	2005
Regularization paths for generalized linear models via coordinate descent J Friedman, T Hastie, R Tibshirani Journal of statistical software 33 (1), 1, 2010	19285	2010
Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications T Sørlie, CM Perou, R Tibshirani, T Aas, S Geisler, H Johnsen, T Hastie, ... Proceedings of the National Academy of Sciences 98 (19), 10869-10874, 2001	17684*	2001
Elements of Statistical Learning F Hastie, Tibshirani https://link.springer.com/content/pdf/10.1007/978-0-387-84858-7.pdf, 2009	16686*	2009
Least angle regression B Efron, T Hastie, I Johnstone, R Tibshirani	12759	2004
Additive logistic regression: a statistical view of boosting (with discussion and a rejoinder by the authors) J Friedman, T Hastie, R Tibshirani The annals of statistics 28 (2), 337-407, 2000	9775	2000
A statistical explanation of MaxEnt for ecologists J Elith, SJ Phillips, T Hastie, M Dudík, YE Chee, CJ Yates Diversity and distributions 17 (1), 43-57, 2011	7845	2011
Estimating the number of clusters in a data set via the gap statistic R Tibshirani, G Walther, T Hastie Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001	7599	2001
Sparse inverse covariance estimation with the graphical lasso J Friedman, T Hastie, R Tibshirani Biostatistics 9 (3), 432-441, 2008	7303	2008
A working guide to boosted regression trees J Elith, JR Leathwick, T Hastie Journal of animal ecology 77 (4), 802-813, 2008	6861	2008
Missing value estimation methods for DNA microarrays O Troyanskaya, M Cantor, G Sherlock, P Brown, T Hastie, R Tibshirani, ... Bioinformatics 17 (6), 520-525, 2001	4937	2001
The Dantzig selector: Statistical estimation when p is much larger than n E Candes, T Tao	4433	2007
Statistical learning with sparsity T Hastie, R Tibshirani, M Wainwright Monographs on statistics and applied probability 143 (143), 8, 2015	4253	2015
Sparse principal component analysis H Zou, T Hastie, R Tibshirani Journal of computational and graphical statistics 15 (2), 265-286, 2006	4104	2006
Statistical models JM Chambers, TJ Hastie Statistical models in S, 13-44, 2017	3957	2017
Diagnosis of multiple cancer types by shrunken centroids of gene expression R Tibshirani, T Hastie, B Narasimhan, G Chu Proceedings of the National Academy of Sciences 99 (10), 6567-6572, 2002	3556	2002
Generalized linear and generalized additive models in studies of species distributions: setting the scene A Guisan, TC Edwards Jr, T Hastie Ecological modelling 157 (2-3), 89-100, 2002	2999	2002

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