| An introduction to statistical learning G James, D Witten, T Hastie, R Tibshirani springer 112, 18, 2013 | 18408 | 2013 |
| Finding the number of clusters in a dataset: An information-theoretic approach CA Sugar, GM James Journal of the American Statistical Association 98 (463), 750-763, 2003 | 1093 | 2003 |
| Clustering for sparsely sampled functional data GM James, CA Sugar Journal of the American Statistical Association 98 (462), 397-408, 2003 | 588 | 2003 |
| Principal component models for sparse functional data GM James, TJ Hastie, CA Sugar Biometrika 87 (3), 587-602, 2000 | 573 | 2000 |
| Generalized linear models with functional predictors GM James Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2002 | 474 | 2002 |
| Other considerations in the regression model G James, D Witten, T Hastie, R Tibshirani An Introduction to Statistical Learning: with Applications in R 103, 82-102, 2013 | 411 | 2013 |
| Functional linear discriminant analysis for irregularly sampled curves GM James, TJ Hastie Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2001 | 400 | 2001 |
| Functional linear regression that’s interpretable GM James, J Wang, J Zhu | 294 | 2009 |
| Variance and bias for general loss functions GM James Machine learning 51, 115-135, 2003 | 227 | 2003 |
| DASSO: connections between the Dantzig selector and lasso GM James, P Radchenko, J Lv Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009 | 215 | 2009 |
| Functional regression: A new model for predicting market penetration of new products A Sood, GM James, GJ Tellis Marketing Science 28 (1), 36-51, 2009 | 161 | 2009 |
| Majority vote classifiers: theory and applications GM James Stanford University, 1998 | 149 | 1998 |
| Functional additive regression Y Fan, GM James, P Radchenko | 144 | 2015 |
| Variable selection using adaptive nonlinear interaction structures in high dimensions P Radchenko, GM James Journal of the American Statistical Association 105 (492), 1541-1553, 2010 | 139 | 2010 |
| Curve alignment by moments GM James | 139 | 2007 |
| Functional adaptive model estimation GM James, BW Silverman Journal of the American Statistical Association 100 (470), 565-576, 2005 | 136 | 2005 |
| Bayesian sparse hidden components analysis for transcription regulation networks C Sabatti, GM James Bioinformatics 22 (6), 739-746, 2006 | 128 | 2006 |
| Improving lactose digestion and symptoms of lactose intolerance with a novel galacto-oligosaccharide (RP-G28): a randomized, double-blind clinical trial DA Savaiano, AJ Ritter, TR Klaenhammer, GM James, AT Longcore, ... Nutrition journal 12 (1), 1-9, 2013 | 126 | 2013 |
| Penalized and constrained optimization: an application to high-dimensional website advertising GM James, C Paulson, P Rusmevichientong Journal of the American Statistical Association 115 (529), 107-122, 2020 | 125* | 2020 |
| Hidden Markov models for longitudinal comparisons SL Scott, GM James, CA Sugar Journal of the American Statistical Association 100 (470), 359-369, 2005 | 116 | 2005 |
Trevor HastieProfessor of Statistics, Stanford UniversityDirección de correo verificada de stanford.edu
