Bayes Factors RE Kass, AE Raftery Bayes Factors. J. Amer. Stat. Assoc 90 (430), 774-795, 1995 | 15065 | 1995 |

The selection of prior distributions by formal rules RE Kass, L Wasserman Journal of the American statistical Association 91 (435), 1343-1370, 1996 | 1510 | 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 | 1324 | 1995 |

Multiple neural spike train data analysis: state-of-the-art and future challenges EN Brown, RE Kass, PP Mitra Nature neuroscience 7 (5), 456-461, 2004 | 969 | 2004 |

Markov chain Monte Carlo in practice: a roundtable discussion RE Kass, BP Carlin, A Gelman, RM Neal The American Statistician 52 (2), 93-100, 1998 | 675 | 1998 |

The time-rescaling theorem and its application to neural spike train data analysis EN Brown, R Barbieri, V Ventura, RE Kass, LM Frank Neural computation 14 (2), 325-346, 2002 | 545 | 2002 |

Bayesian curve‐fitting with free‐knot splines I DiMatteo, CR Genovese, RE Kass Biometrika 88 (4), 1055-1071, 2001 | 497 | 2001 |

Approximate Bayesian inference in conditionally independent hierarchical models (parametric empirical Bayes models) RE Kass, D Steffey Journal of the American Statistical Association 84 (407), 717-726, 1989 | 485 | 1989 |

Fully exponential Laplace approximations to expectations and variances of nonpositive functions L Tierney, RE Kass, JB Kadane Journal of the American Statistical Association 84 (407), 710-716, 1989 | 428 | 1989 |

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 | 423 | 1997 |

Geometrical foundations of asymptotic inference RE Kass, PW Vos John Wiley & Sons, 2011 | 415 | 2011 |

Statistical issues in the analysis of neuronal data RE Kass, V Ventura, EN Brown Journal of neurophysiology 94 (1), 8-25, 2005 | 338 | 2005 |

Differential Geometry in Statistical Inference SI Amari, OE Barndorff-Nielsen, RE Kass, SL Lauritzen, CR Rao Differential Geometry in Statistical Inference, 1987 | 336* | 1987 |

Automatic correction of ocular artifacts in the EEG: a comparison of regression-based and component-based methods GL Wallstrom, RE Kass, A Miller, JF Cohn, NA Fox International journal of psychophysiology 53 (2), 105-119, 2004 | 314 | 2004 |

Shrinkage estimators for covariance matrices MJ Daniels, RE Kass Biometrics 57 (4), 1173-1184, 2001 | 296 | 2001 |

The geometry of asymptotic inference RE Kass Statistical Science, 188-219, 1989 | 293 | 1989 |

The validity of posterior expansions based on Laplace’s method S Geisser, J Hodges, S Press, A ZeUner Bayesian and likelihood methods in statistics and econometrics 7, 473, 1990 | 292 | 1990 |

Functional network reorganization during learning in a brain-computer interface paradigm B Jarosiewicz, SM Chase, GW Fraser, M Velliste, RE Kass, AB Schwartz Proceedings of the National Academy of Sciences 105 (49), 19486-19491, 2008 | 289 | 2008 |

Recursive Bayesian decoding of motor cortical signals by particle filtering AE Brockwell, AL Rojas, RE Kass Journal of Neurophysiology 91 (4), 1899-1907, 2004 | 284 | 2004 |

Nonconjugate Bayesian estimation of covariance matrices and its use in hierarchical models MJ Daniels, RE Kass Journal of the American Statistical Association 94 (448), 1254-1263, 1999 | 265 | 1999 |