Robert E. Kass
Robert E. Kass
Maurice Falk Professor of Statistics and Computational Neuroscience, Carnegie Mellon University
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Cited by
Cited by
Bayes factors
RE Kass, AE Raftery
Journal of the american statistical association, 773-795, 1995
The selection of prior distributions by formal rules
RE Kass, L Wasserman
Journal of the American Statistical Association, 1343-1370, 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
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
Markov chain monte carlo in practice: A roundtable discussion
RE Kass, BP Carlin, A Gelman, RM Neal
American Statistician, 93-100, 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
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
Bayesian curve‐fitting with free‐knot splines
I DiMatteo, CR Genovese, RE Kass
Biometrika 88 (4), 1055-1071, 2001
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
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
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
Geometrical foundations of asymptotic inference
RE Kass, PW Vos
Wiley-Interscience, 2011
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
Importance sampling: a review
ST Tokdar, RE Kass
Wiley Interdisciplinary Reviews: Computational Statistics 2 (1), 54-60, 2010
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
Statistical issues in the analysis of neuronal data
RE Kass, V Ventura, EN Brown
Journal of neurophysiology 94 (1), 8-25, 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
Shrinkage estimators for covariance matrices
MJ Daniels, RE Kass
Biometrics 57 (4), 1173-1184, 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
The geometry of asymptotic inference
RE Kass
Statistical Science, 188-219, 1989
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