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Trevor Hastie - Publications

Affiliations: 
Stanford University, Palo Alto, CA 
Area:
Statistics and Biostatistics (HRP)
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83 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Kidziński Ł, Hui FKC, Warton DI, Hastie T. Generalized Matrix Factorization: efficient algorithms for fitting generalized linear latent variable models to large data arrays. Journal of Machine Learning Research : Jmlr. 23. PMID 37102181  0.313
2022 Hastie T, Montanari A, Rosset S, Tibshirani RJ. SURPRISES IN HIGH-DIMENSIONAL RIDGELESS LEAST SQUARES INTERPOLATION. Annals of Statistics. 50: 949-986. PMID 36120512 DOI: 10.1214/21-aos2133  0.584
2020 Friedman J, Hastie T, Tibshirani R. Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron Journal of the American Statistical Association. 115: 665-666. DOI: 10.1080/01621459.2020.1762617  0.3
2018 Powers S, Hastie T, Tibshirani R. Nuclear penalized multinomial regression with an application to predicting at bat outcomes in baseball. Statistical Modelling. 18: 388-410. PMID 31105469 DOI: 10.1177/1471082X18777669  0.313
2017 Wang J, Zhao Q, Hastie T, Owen AB. CONFOUNDER ADJUSTMENT IN MULTIPLE HYPOTHESIS TESTING. Annals of Statistics. 45: 1863-1894. PMID 31439967 DOI: 10.1214/16-Aos1511  0.333
2017 Groll A, Hastie T, Tutz G. Selection of effects in Cox frailty models by regularization methods. Biometrics. PMID 28085181 DOI: 10.1111/Biom.12637  0.371
2016 Hughey JJ, Hastie T, Butte AJ. ZeitZeiger: supervised learning for high-dimensional data from an oscillatory system. Nucleic Acids Research. PMID 26819407 DOI: 10.1093/Nar/Gkw030  0.308
2015 Powers S, Hastie T, Tibshirani R. CUSTOMIZED TRAINING WITH AN APPLICATION TO MASS SPECTROMETRIC IMAGING OF CANCER TISSUE. The Annals of Applied Statistics. 9: 1709-1725. PMID 30370000 DOI: 10.1214/15-Aoas866  0.323
2015 Fithian W, Elith J, Hastie T, Keith DA. Bias correction in species distribution models: pooling survey and collection data for multiple species. Methods in Ecology and Evolution. 6: 424-438. PMID 27840673 DOI: 10.1111/2041-210X.12242  0.33
2015 Lim M, Hastie T. Learning interactions via hierarchical group-lasso regularization. Journal of Computational and Graphical Statistics : a Joint Publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America. 24: 627-654. PMID 26759522 DOI: 10.1080/10618600.2014.938812  0.335
2015 Renner IW, Elith J, Baddeley A, Fithian W, Hastie T, Phillips SJ, Popovic G, Warton DI. Point process models for presence-only analysis Methods in Ecology and Evolution. 6: 366-379. DOI: 10.1111/2041-210X.12352  0.355
2015 Warton DI, Shipley B, Hastie T. CATS regression - a model-based approach to studying trait-based community assembly Methods in Ecology and Evolution. 6: 389-398. DOI: 10.1111/2041-210X.12280  0.376
2014 Fithian W, Hastie T. LOCAL CASE-CONTROL SAMPLING: EFFICIENT SUBSAMPLING IN IMBALANCED DATA SETS. Annals of Statistics. 42: 1693-1724. PMID 25492979 DOI: 10.1214/14-Aos1220  0.38
2014 Wang JC, Hastie T. Boosted varying-coefficient regression models for product demand prediction Journal of Computational and Graphical Statistics. 23: 361-382. DOI: 10.1080/10618600.2013.778777  0.359
2013 Fithian W, Hastie T. Finite-Sample Equivalence in Statistical Models for Presence-Only Data. The Annals of Applied Statistics. 7: 1917-1939. PMID 25493106 DOI: 10.1214/13-Aoas667  0.406
2013 Simon N, Friedman J, Hastie T, Tibshirani R. A sparse-group lasso Journal of Computational and Graphical Statistics. 22: 231-245. DOI: 10.1080/10618600.2012.681250  0.376
2012 Mazumder R, Hastie T. The graphical lasso: New insights and alternatives. Electronic Journal of Statistics. 6: 2125-2149. PMID 25558297 DOI: 10.1214/12-Ejs740  0.366
2011 Simon N, Friedman J, Hastie T, Tibshirani R. Regularization Paths for Cox's Proportional Hazards Model via Coordinate Descent. Journal of Statistical Software. 39: 1-13. PMID 27065756 DOI: 10.18637/Jss.V039.I05  0.355
2011 Mazumder R, Friedman JH, Hastie T. SparseNet: Coordinate Descent With Nonconvex Penalties. Journal of the American Statistical Association. 106: 1125-1138. PMID 25580042 DOI: 10.1198/Jasa.2011.Tm09738  0.348
2011 Nowak G, Hastie T, Pollack JR, Tibshirani R. A fused lasso latent feature model for analyzing multi-sample aCGH data. Biostatistics (Oxford, England). 12: 776-91. PMID 21642389 DOI: 10.1093/Biostatistics/Kxr012  0.348
2011 Clemmensen L, Hastie T, Witten D, Ersboll B. Sparse discriminant analysis Technometrics. 53: 406-413. DOI: 10.1198/Tech.2011.08118  0.348
2011 Elith J, Phillips SJ, Hastie T, Dudík M, Chee YE, Yates CJ. A statistical explanation of MaxEnt for ecologists Diversity and Distributions. 17: 43-57. DOI: 10.1111/J.1472-4642.2010.00725.X  0.381
2010 Friedman J, Hastie T, Tibshirani R. Regularization Paths for Generalized Linear Models via Coordinate Descent. Journal of Statistical Software. 33: 1-22. PMID 20808728  0.304
2010 Friedman J, Hastie T, Tibshirani R. Regularization Paths for Generalized Linear Models via Coordinate Descent Journal of Statistical Software. 33: 1-22. DOI: 10.18637/Jss.V033.I01  0.407
2009 Wu TT, Chen YF, Hastie T, Sobel E, Lange K. Genome-wide association analysis by lasso penalized logistic regression. Bioinformatics (Oxford, England). 25: 714-21. PMID 19176549 DOI: 10.1093/Bioinformatics/Btp041  0.328
2009 Ward G, Hastie T, Barry S, Elith J, Leathwick JR. Presence-only data and the em algorithm. Biometrics. 65: 554-63. PMID 18759851 DOI: 10.1111/J.1541-0420.2008.01116.X  0.749
2009 Hastie T, Rosset S, Zhu J, Zou H. Multi-class AdaBoost Statistics and Its Interface. 2: 349-360. DOI: 10.4310/Sii.2009.V2.N3.A8  0.68
2008 Zou H, Zhu J, Hastie T. NEW MULTICATEGORY BOOSTING ALGORITHMS BASED ON MULTICATEGORY FISHER-CONSISTENT LOSSES. The Annals of Applied Statistics. 2: 1290-1306. PMID 27347277 DOI: 10.1214/08-Aoas198  0.535
2008 Elith J, Leathwick JR, Hastie T. A working guide to boosted regression trees Journal of Animal Ecology. 77: 802-813. PMID 18397250 DOI: 10.1111/J.1365-2656.2008.01390.X  0.407
2008 Friedman J, Hastie T, Tibshirani R. Sparse inverse covariance estimation with the graphical lasso. Biostatistics (Oxford, England). 9: 432-41. PMID 18079126 DOI: 10.1093/Biostatistics/Kxm045  0.349
2008 Park MY, Hastie T. Penalized logistic regression for detecting gene interactions. Biostatistics (Oxford, England). 9: 30-50. PMID 17429103 DOI: 10.1093/Biostatistics/Kxm010  0.569
2008 Paul D, Bair E, Hastie T, Tibshirani R. "Preconditioning" for feature selection and regression in high-dimensional problems Annals of Statistics. 36: 1595-1618. DOI: 10.1214/009053607000000578  0.38
2007 Tibshirani R, Hastie T. Outlier sums for differential gene expression analysis. Biostatistics (Oxford, England). 8: 2-8. PMID 16702229 DOI: 10.1093/Biostatistics/Kxl005  0.309
2007 Park MY, Hastie T, Tibshirani R. Averaged gene expressions for regression. Biostatistics (Oxford, England). 8: 212-27. PMID 16698769 DOI: 10.1093/Biostatistics/Kxl002  0.585
2007 Guo Y, Hastie T, Tibshirani R. Regularized linear discriminant analysis and its application in microarrays. Biostatistics (Oxford, England). 8: 86-100. PMID 16603682 DOI: 10.1093/Biostatistics/Kxj035  0.374
2007 Hastie T. Comment: Boosting algorithms: Regularization, prediction and model fitting Statistical Science. 22: 513-515. DOI: 10.1214/07-Sts242A  0.34
2007 Hastie T, Taylor J, Tibshirani R, Walther G. Forward stagewise regression and the monotone lasso Electronic Journal of Statistics. 1: 1-29. DOI: 10.1214/07-Ejs004  0.34
2007 Friedman J, Hastie T, Höfling H, Tibshirani R. Pathwise coordinate optimization The Annals of Applied Statistics. 1: 302-332. DOI: 10.1214/07-Aoas131  0.336
2007 Efron B, Hastie T, Tibshirani R. Discussion: The dantzig selector: Statistical estimation when p is much larger than n Annals of Statistics. 35: 2358-2364. DOI: 10.1214/009053607000000433  0.395
2007 Zou H, Hastie T, Tibshirani R. On the "degrees of freedom" of the lasso Annals of Statistics. 35: 2173-2192. DOI: 10.1214/009053607000000127  0.547
2007 Park MY, Hastie T. L1-regularization path algorithm for generalized linear models Journal of the Royal Statistical Society. Series B: Statistical Methodology. 69: 659-677. DOI: 10.1111/J.1467-9868.2007.00607.X  0.599
2006 Leathwick JR, Elith J, Francis MP, Hastie T, Taylor P. Variation in demersal fish species richness in the oceans surrounding New Zealand: An analysis using boosted regression trees Marine Ecology Progress Series. 321: 267-281. DOI: 10.3354/Meps321267  0.31
2006 Zou H, Hastie T, Tibshirani R. Sparse principal component analysis Journal of Computational and Graphical Statistics. 15: 265-286. DOI: 10.1198/106186006X113430  0.547
2006 Bair E, Hastie T, Paul D, Tibshirani R. Prediction by supervised principal components Journal of the American Statistical Association. 101: 119-137. DOI: 10.1198/016214505000000628  0.343
2006 Guisan A, Lehmann A, Ferrier S, Austin M, Overton JMC, Aspinall R, Hastie T. Making better biogeographical predictions of species' distributions Journal of Applied Ecology. 43: 386-392. DOI: 10.1111/J.1365-2664.2006.01164.X  0.311
2006 Leathwick JR, Elith J, Hastie T. Comparative performance of generalized additive models and multivariate adaptive regression splines for statistical modelling of species distributions Ecological Modelling. 199: 188-196. DOI: 10.1016/J.Ecolmodel.2006.05.022  0.358
2005 Zhu J, Hastie T. Kernel logistic regression and the import vector machine Journal of Computational and Graphical Statistics. 14: 185-205. DOI: 10.1198/106186005X25619  0.34
2005 Zou H, Hastie T. Addendum: Regularization and variable selection via the elastic net Journal of the Royal Statistical Society: Series B (Statistical Methodology). 67: 768-768. DOI: 10.1111/J.1467-9868.2005.00527.X  0.509
2005 Zou H, Hastie T. Regularization and variable selection via the elastic net Journal of the Royal Statistical Society. Series B: Statistical Methodology. 67: 301-320. DOI: 10.1111/J.1467-9868.2005.00503.X  0.541
2005 Leathwick JR, Rowe D, Richardson J, Elith J, Hastie T. Using multivariate adaptive regression splines to predict the distributions of New Zealand's freshwater diadromous fish Freshwater Biology. 50: 2034-2052. DOI: 10.1111/J.1365-2427.2005.01448.X  0.326
2005 Zhu M, Hastie TJ, Walther G. Constrained ordination analysis with flexible response functions Ecological Modelling. 187: 524-536. DOI: 10.1016/J.Ecolmodel.2005.01.049  0.626
2004 Zhu J, Hastie T. Classification of gene microarrays by penalized logistic regression. Biostatistics (Oxford, England). 5: 427-43. PMID 15208204 DOI: 10.1093/Biostatistics/Kxg046  0.356
2004 Hastie T, Tibshirani R. Efficient quadratic regularization for expression arrays. Biostatistics (Oxford, England). 5: 329-40. PMID 15208198 DOI: 10.1093/Biostatistics/Kxh010  0.379
2004 Efron B, Hastie T, Johnstone I, Tibshirani R, Ishwaran H, Knight K, Loubes JM, Massart P, Madigan D, Ridgeway G, Rosset S, Zhu JI, Stine RA, Turlach BA, Weisberg S. Least angle regression Annals of Statistics. 32: 407-499. DOI: 10.1214/009053604000000067  0.669
2003 Hastie T, Tibshirani R, Friedman J. Note on "Comparison of model selection for regression" by Vladimir Cherkassky and Yunqian Ma. Neural Computation. 15: 1477-80. PMID 12816562 DOI: 10.1162/089976603321891765  0.312
2003 Tibshirani R, Hastie T, Narasimhan B, Chu G. Class Prediction by Nearest Shrunken Centroids, with Applications to DNA Microarrays Statistical Science. 18: 104-117. DOI: 10.1214/Ss/1056397488  0.336
2003 Zhu M, Hastie TJ. Feature Extraction for Nonparametric Discriminant Analysis Journal of Computational and Graphical Statistics. 12: 101-120. DOI: 10.1198/1061860031220  0.631
2002 Tibshirani R, Hastie T, Narasimhan B, Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proceedings of the National Academy of Sciences of the United States of America. 99: 6567-72. PMID 12011421 DOI: 10.1073/Pnas.082099299  0.33
2002 Guisan A, Edwards TC, Hastie T. Generalized linear and generalized additive models in studies of species distributions: setting the scene Ecological Modelling. 157: 89-100. DOI: 10.1016/S0304-3800(02)00204-1  0.374
2001 Troyanskaya O, Cantor M, Sherlock G, Brown P, Hastie T, Tibshirani R, Botstein D, Altman RB. Missing value estimation methods for DNA microarrays Bioinformatics. 17: 520-525. PMID 11395428 DOI: 10.1093/Bioinformatics/17.6.520  0.358
2001 Hastie T, Tibshirani R, Botstein D, Brown P. Supervised harvesting of expression trees Genome Biology. 2: RESEARCH0003. PMID 11178280 DOI: 10.1186/Gb-2001-2-1-Research0003  0.329
2001 Tibshirani R, Walther G, Hastie T. Estimating the number of clusters in a data set via the gap statistic Journal of the Royal Statistical Society: Series B (Statistical Methodology). 63: 411-423. DOI: 10.1111/1467-9868.00293  0.32
2000 Friedman J, Hastie T, Tibshirani R. Additive Logistic Regression : A Statistical View of Boosting Annals of Statistics. 28: 337-407. DOI: 10.1214/Aos/1016218223  0.399
1998 Hastie T, Tibshirani R. Classification by pairwise coupling The Annals of Statistics. 26: 451-471. DOI: 10.1214/Aos/1028144844  0.362
1998 James G, Hastie T. The Error Coding Method and PICTs Journal of Computational and Graphical Statistics. 7: 377-387. DOI: 10.1080/10618600.1998.10474782  0.323
1996 Hastie T, Tibshirani R. Generalized additive models for medical research. Statistical Methods in Medical Research. 4: 187-96. PMID 8548102 DOI: 10.1177/096228029500400302  0.306
1996 Hastie T, Tibshirani R. Discriminant Analysis by Gaussian Mixtures Journal of the Royal Statistical Society: Series B (Methodological). 58: 155-176. DOI: 10.1111/J.2517-6161.1996.Tb02073.X  0.336
1996 Hastie T, Tibshirani R. Discriminant adaptive nearest neighbor classification Ieee Transactions On Pattern Analysis and Machine Intelligence. 18: 607-616. DOI: 10.1109/34.506411  0.311
1995 Hastie T, Buja A, Tibshirani R. Penalized Discriminant Analysis The Annals of Statistics. 23: 73-102. DOI: 10.1214/Aos/1176324456  0.353
1994 NELSON W, TURIN W, HASTIE T. STATISTICAL METHODS FOR ON-LINE SIGNATURE VERIFICATION International Journal of Pattern Recognition and Artificial Intelligence. 8: 749-770. DOI: 10.1142/S0218001494000395  0.325
1994 Hastie T, Tibshirani R, Buja A. Flexible Discriminant Analysis by Optimal Scoring Journal of the American Statistical Association. 89: 1255-1270. DOI: 10.1080/01621459.1994.10476866  0.328
1993 Hastie T, Loader C. Local regression: Automatic Kernel carpentry Statistical Science. 8: 120-129. DOI: 10.1214/Ss/1177011002  0.354
1993 Hastie T, Tibshirani R. Varying-Coefficient Models Journal of the Royal Statistical Society: Series B (Methodological). 55: 757-779. DOI: 10.1111/J.2517-6161.1993.Tb01939.X  0.392
1991 Hastie T, Tibshirani R. [The ∏ Method for Estimating Multivariate Functions from Noisy Data]: Discussion Technometrics. 33: 155. DOI: 10.2307/1269041  0.318
1990 Hastie T, Tibshirani R. Exploring the Nature of Covariate Effects in the Proportional Hazards Model Biometrics. 46: 1005. DOI: 10.2307/2532444  0.363
1989 Buja A, Hastie T, Tibshirani R. Rejoinder: Linear Smoothers and Additive Models The Annals of Statistics. 17: 543-555. DOI: 10.1214/Aos/1176347124  0.308
1989 Buja A, Hastie T, Tibshirani R. Linear Smoothers and Additive Models The Annals of Statistics. 17: 453-510. DOI: 10.1214/Aos/1176347115  0.4
1987 Hastie T, Tibshirani R. Non-Parametric Logistic and Proportional Odds Regression Applied Statistics. 36: 260. DOI: 10.2307/2347785  0.309
1987 Tibshirani R, Hastie T. Local Likelihood Estimation Journal of the American Statistical Association. 82: 559-567. DOI: 10.1080/01621459.1987.10478466  0.301
1987 Greenacre M, Hastie T. The Geometric Interpretation of Correspondence Analysis Journal of the American Statistical Association. 82: 437-447. DOI: 10.1080/01621459.1987.10478446  0.311
1987 Hastie T. A Closer Look at the Deviance The American Statistician. 41: 16-20. DOI: 10.1080/00031305.1987.10475434  0.311
1987 Hastie T, Tibshirani R. Generalized Additive Models: Some Applications Journal of the American Statistical Association. 82: 371-386. DOI: 10.1007/978-1-4615-7070-7_8  0.347
1986 Hastie T, Tibshirani R. [Generalized Additive Models]: Rejoinder Statistical Science. 1: 314-318. DOI: 10.1214/Ss/1177013609  0.301
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