All of statistics: a concise course in statistical inference L Wasserman Springer, 2004 | 4782* | 2004 |

All of statistics: a concise course in statistical inference L Wasserman Springer, 2004 | 4782* | 2004 |

The selection of prior distributions by formal rules RE Kass, L Wasserman Journal of the American statistical Association 91 (435), 1343-1370, 1996 | 1458 | 1996 |

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 | 1438 | 1995 |

Bayesian model selection and model averaging L Wasserman Journal of mathematical psychology 44 (1), 92-107, 2000 | 982 | 2000 |

An overview of robust Bayesian analysis JO Berger, E Moreno, LR Pericchi, MJ Bayarri, JM Bernardo, JA Cano, ... Test 3 (1), 5-124, 1994 | 683 | 1994 |

Sparse additive models P Ravikumar, J Lafferty, H Liu, L Wasserman Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2009 | 666 | 2009 |

Practical Bayesian density estimation using mixtures of normals K Roeder, L Wasserman Journal of the American Statistical Association 92 (439), 894-902, 1997 | 654 | 1997 |

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 | 652 | 2002 |

The nonparanormal: Semiparametric estimation of high dimensional undirected graphs. H Liu, J Lafferty, L Wasserman Journal of Machine Learning Research 10 (10), 2009 | 621 | 2009 |

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 | 614 | 1995 |

Genomic control, a new approach to genetic-based association studies B Devlin, K Roeder, L Wasserman Theoretical population biology 60 (3), 155-166, 2001 | 583 | 2001 |

High dimensional variable selection L Wasserman, K Roeder Annals of statistics 37 (5A), 2178, 2009 | 573 | 2009 |

High-dimensional semiparametric Gaussian copula graphical models H Liu, F Han, M Yuan, J Lafferty, L Wasserman The Annals of Statistics 40 (4), 2293-2326, 2012 | 482 | 2012 |

Computing Bayes factors by combining simulation and asymptotic approximations TJ DiCiccio, RE Kass, A Raftery, L Wasserman Journal of the American Statistical Association 92 (439), 903-915, 1997 | 452 | 1997 |

The consistency of posterior distributions in nonparametric problems A Barron, MJ Schervish, L Wasserman The Annals of Statistics 27 (2), 536-561, 1999 | 449 | 1999 |

A stochastic process approach to false discovery control C Genovese, L Wasserman The annals of statistics 32 (3), 1035-1061, 2004 | 448 | 2004 |

A stochastic process approach to false discovery control C Genovese, L Wasserman The annals of statistics 32 (3), 1035-1061, 2004 | 440 | 2004 |

Stability approach to regularization selection (stars) for high dimensional graphical models H Liu, K Roeder, L Wasserman Advances in neural information processing systems 24 (2), 1432, 2010 | 412 | 2010 |

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 | 354 | 2012 |