| All of statistics: A concise course in statistical inference L Wasserman Springer Science & Business Media, 2013 | 3983 | 2013 |
| All of nonparametric statistics L Wasserman Springer Science & Business Media, 2006 | 2574 | 2006 |
| A reference Bayesian test for nested hypotheses and its relationship to the Schwarz criterion RE Kass, L Wasserman Journal of the american statistical association 90 (431), 928-934, 1995 | 1673 | 1995 |
| The selection of prior distributions by formal rules RE Kass, L Wasserman Journal of the American statistical Association 91 (435), 1343-1370, 1996 | 1670 | 1996 |
| Bayesian model selection and model averaging L Wasserman Journal of mathematical psychology 44 (1), 92-107, 2000 | 1231 | 2000 |
| The nonparanormal: semiparametric estimation of high dimensional undirected graphs. H Liu, J Lafferty, L Wasserman Journal of Machine Learning Research 10 (10), 2009 | 876 | 2009 |
| Distribution-free predictive inference for regression J Lei, M G’Sell, A Rinaldo, RJ Tibshirani, L Wasserman Journal of the American Statistical Association 113 (523), 1094-1111, 2018 | 858 | 2018 |
| Sparse additive models P Ravikumar, J Lafferty, H Liu, L Wasserman Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2009 | 839 | 2009 |
| An overview of robust Bayesian analysis JO Berger, E Moreno, LR Pericchi, MJ Bayarri, JM Bernardo, JA Cano, ... Test 3 (1), 5-124, 1994 | 790 | 1994 |
| Operating characteristics and extensions of the false discovery rate procedure C Genovese, L Wasserman Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2002 | 744 | 2002 |
| High dimensional variable selection L Wasserman, K Roeder Annals of statistics 37 (5A), 2178, 2009 | 739 | 2009 |
| Practical Bayesian density estimation using mixtures of normals K Roeder, L Wasserman Journal of the American Statistical Association 92 (439), 894-902, 1997 | 715 | 1997 |
| Computing Bayes factors using a generalization of the Savage-Dickey density ratio I Verdinelli, L Wasserman Journal of the American Statistical Association 90 (430), 614-618, 1995 | 684 | 1995 |
| High-dimensional semiparametric Gaussian copula graphical models H Liu, F Han, M Yuan, J Lafferty, L Wasserman | 637 | 2012 |
| Genomic control, a new approach to genetic-based association studies B Devlin, K Roeder, L Wasserman Theoretical population biology 60 (3), 155-166, 2001 | 637 | 2001 |
| Stability approach to regularization selection (stars) for high dimensional graphical models H Liu, K Roeder, L Wasserman Advances in neural information processing systems 23, 2010 | 578 | 2010 |
| Topological data analysis L Wasserman Annual Review of Statistics and Its Application 5 (1), 501-532, 2018 | 571 | 2018 |
| The huge package for high-dimensional undirected graph estimation in R T Zhao, H Liu, K Roeder, J Lafferty, L Wasserman The Journal of Machine Learning Research 13 (1), 1059-1062, 2012 | 555 | 2012 |
| A statistical framework for differential privacy L Wasserman, S Zhou Journal of the American Statistical Association 105 (489), 375-389, 2010 | 539 | 2010 |
| A stochastic process approach to false discovery control C Genovese, L Wasserman | 536 | 2004 |
