| Bias Correction in Species Distribution Models: Pooling Survey and Collection Data for Multiple Species W Fithian, J Elith, T Hastie, DA Keith arXiv preprint arXiv:1403.7274, 2014 | 298 | 2014 |
| Point process models for presence‐only analysis IW Renner, J Elith, A Baddeley, W Fithian, T Hastie, SJ Phillips, G Popovic, ... Methods in Ecology and Evolution 6 (4), 366-379, 2015 | 286 | 2015 |
| Optimal inference after model selection W Fithian, D Sun, J Taylor arXiv preprint arXiv:1410.2597, 2014 | 264 | 2014 |
| Finite-sample equivalence in statistical models for presence-only data W Fithian, T Hastie The annals of applied statistics 7 (4), 1917, 2013 | 221 | 2013 |
| Inference from presence‐only data; the ongoing controversy T Hastie, W Fithian Ecography 36 (8), 864-867, 2013 | 196 | 2013 |
| AdaPT: an interactive procedure for multiple testing with side information L Lei, W Fithian Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2018 | 108 | 2018 |
| Local case-control sampling: Efficient subsampling in imbalanced data sets W Fithian, T Hastie Annals of statistics 42 (5), 1693, 2014 | 77 | 2014 |
| Effective degrees of freedom: a flawed metaphor L Janson, W Fithian, TJ Hastie Biometrika 102 (2), 479-485, 2015 | 56 | 2015 |
| Selective sequential model selection W Fithian, J Taylor, R Tibshirani, R Tibshirani arXiv preprint arXiv:1512.02565, 2015 | 55 | 2015 |
| A general interactive framework for false discovery rate control under structural constraints L Lei, A Ramdas, W Fithian Biometrika 108 (2), 253-267, 2021 | 52 | 2021 |
| Altitude training: Strong bounds for single-layer dropout S Wager, W Fithian, S Wang, PS Liang Advances in Neural Information Processing Systems 27, 2014 | 51 | 2014 |
| Selection adjusted confidence intervals with more power to determine the sign A Weinstein, W Fithian, Y Benjamini Journal of the American Statistical Association 108 (501), 165-176, 2013 | 45 | 2013 |
| Power of ordered hypothesis testing L Lei, W Fithian International conference on machine learning, 2924-2932, 2016 | 31 | 2016 |
| Semiparametric exponential families for heavy-tailed data W Fithian, S Wager Biometrika 102 (2), 486-493, 2015 | 27 | 2015 |
| Multiple correspondence analysis and the multilogit bilinear model W Fithian, J Josse Journal of multivariate analysis 157, 87-102, 2017 | 26 | 2017 |
| Flexible low-rank statistical modeling with missing data and side information W Fithian, R Mazumder Statistical Science 33 (2), 238-260, 2018 | 20* | 2018 |
| Rank verification for exponential families K Hung, W Fithian The Annals of Statistics 47 (2), 758-782, 2019 | 16 | 2019 |
| Conditional calibration for false discovery rate control under dependence W Fithian, L Lei arXiv preprint arXiv:2007.10438, 2020 | 13 | 2020 |
| Scalable convex methods for flexible low-rank matrix modeling W Fithian, R Mazumder stat, 2014 | 9 | 2014 |
| 12 Data Augmentation via Lévy Processes S Wager, W Fithian, P Liang Perturbations, Optimization, and Statistics, 343, 2016 | 6 | 2016 |
Trevor HastieProfessor of Statistics, Stanford UniversityVerified email at stanford.edu
