| Bayes Factors RE Kass, AE Raftery Bayes Factors. J. Amer. Stat. Assoc 90 (430), 774-795, 1995 | 18536 | 1995 |
| The selection of prior distributions by formal rules RE Kass, L Wasserman Journal of the American statistical Association 91 (435), 1343-1370, 1996 | 1701 | 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 | 1551 | 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 | 1058 | 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 | 852 | 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 | 627 | 2002 |
| 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 | 582 | 1989 |
| Bayesian curve‐fitting with free‐knot splines I DiMatteo, CR Genovese, RE Kass Biometrika 88 (4), 1055-1071, 2001 | 557 | 2001 |
| 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 | 485 | 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 | 483 | 1997 |
| Geometrical foundations of asymptotic inference RE Kass, PW Vos John Wiley & Sons, 2011 | 456 | 2011 |
| Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data P Zhou, SL Resendez, J Rodriguez-Romaguera, JC Jimenez, SQ Neufeld, ... elife 7, e28728, 2018 | 441 | 2018 |
| Differential Geometry in Statistical Inference SI Amari, OE Barndorff-Nielsen, RE Kass, SL Lauritzen, CR Rao Differential Geometry in Statistical Inference, 1987 | 396* | 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 | 378 | 2004 |
| Statistical issues in the analysis of neuronal data RE Kass, V Ventura, EN Brown Journal of neurophysiology 94 (1), 8-25, 2005 | 367 | 2005 |
| The validity of posterior expansions based on Laplace's method. Bayesian and Likelihood Methods in Statistics and Econometrics, eds. S. Geisser, JS Hodges RE Kass, L Tierney, JB Kadane SJ Press and A. Zellner, Elsevier Science Publishers BV (North Holland), 1990 | 357* | 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 | 328 | 2008 |
| Shrinkage estimators for covariance matrices MJ Daniels, RE Kass Biometrics 57 (4), 1173-1184, 2001 | 326 | 2001 |
| Recursive Bayesian decoding of motor cortical signals by particle filtering AE Brockwell, AL Rojas, RE Kass Journal of neurophysiology 91 (4), 1899-1907, 2004 | 316 | 2004 |
| The geometry of asymptotic inference RE Kass Statistical Science, 188-219, 1989 | 310 | 1989 |
