Robert E. Kass
Robert E. Kass
Verified email at stat.cmu.edu - Homepage
Title
Cited by
Cited by
Year
Bayes Factors
RE Kass, AE Raftery
Bayes Factors. J. Amer. Stat. Assoc 90 (430), 774-795, 1995
150651995
The selection of prior distributions by formal rules
RE Kass, L Wasserman
Journal of the American statistical Association 91 (435), 1343-1370, 1996
15101996
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
13241995
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
9692004
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
6751998
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
5452002
Bayesian curve‐fitting with free‐knot splines
I DiMatteo, CR Genovese, RE Kass
Biometrika 88 (4), 1055-1071, 2001
4972001
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
4851989
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
4281989
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
4231997
Geometrical foundations of asymptotic inference
RE Kass, PW Vos
John Wiley & Sons, 2011
4152011
Statistical issues in the analysis of neuronal data
RE Kass, V Ventura, EN Brown
Journal of neurophysiology 94 (1), 8-25, 2005
3382005
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
3142004
Shrinkage estimators for covariance matrices
MJ Daniels, RE Kass
Biometrics 57 (4), 1173-1184, 2001
2962001
The geometry of asymptotic inference
RE Kass
Statistical Science, 188-219, 1989
2931989
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
2921990
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
2892008
Recursive Bayesian decoding of motor cortical signals by particle filtering
AE Brockwell, AL Rojas, RE Kass
Journal of Neurophysiology 91 (4), 1899-1907, 2004
2842004
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
2651999
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