| Bayes factors RE Kass, AE Raftery Journal of the american statistical association, 773-795, 1995 | 22027 | 1995 |
| The selection of prior distributions by formal rules RE Kass, L Wasserman Journal of the American Statistical Association, 1343-1370, 1996 | 1935 | 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, 928-934, 1995 | 1747 | 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 | 1160 | 2004 |
| What is statistics? EN Brown, RE Kass The American Statistician 63 (2), 105-110, 2009 | 1002 | 2009 |
| Markov chain monte carlo in practice: A roundtable discussion RE Kass, BP Carlin, A Gelman, RM Neal American Statistician, 93-100, 1998 | 999 | 1998 |
| 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 | 778 | 2018 |
| 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 | 710 | 2002 |
| Approximate Bayesian inference in conditionally independent hierarchical models (parametric empirical Bayes models) RE Kass, D Steffey Journal of the American Statistical Association, 717-726, 1989 | 668 | 1989 |
| Importance sampling: a review ST Tokdar, RE Kass Wiley Interdisciplinary Reviews: Computational Statistics 2 (1), 54-60, 2010 | 625 | 2010 |
| Bayesian curve‐fitting with free‐knot splines I DiMatteo, CR Genovese, RE Kass Biometrika 88 (4), 1055-1071, 2001 | 600 | 2001 |
| Fully exponential Laplace approximations to expectations and variances of nonpositive functions L Tierney, RE Kass, JB Kadane Journal of the American Statistical Association, 710-716, 1989 | 554 | 1989 |
| Geometrical foundations of asymptotic inference RE Kass, PW Vos Wiley-Interscience, 2011 | 516 | 2011 |
| Computing Bayes factors by combining simulation and asymptotic approximations TJ DiCiccio, RE Kass, A Raftery, L Wasserman Journal of the American Statistical Association, 903-915, 1997 | 508 | 1997 |
| 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 | 441 | 2004 |
| Differential geometry in statistical inference S Amari, OE Barndorff-Nielsen, RE Kass, SL Lauritzen, CR Rao IMS, 1987 | 434* | 1987 |
| The validity of posterior expansions based on Laplace’s method RE Kass, L Tierney, JB Kadane Bayesian and Likelihood methods in Statistics and Econometrics 7, 473-488, 1990 | 421 | 1990 |
| Statistical issues in the analysis of neuronal data RE Kass, V Ventura, EN Brown Journal of neurophysiology 94 (1), 8-25, 2005 | 394 | 2005 |
| 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 | 379 | 2008 |
| Shrinkage estimators for covariance matrices MJ Daniels, RE Kass Biometrics 57 (4), 1173-1184, 2001 | 351 | 2001 |
