Peter Grünwald
Peter Grünwald
Group Leader Machine Learning, CWI; Professor of Statistics, Leiden University
Verified email at - Homepage
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The minimum description length principle
PD Grünwald
The MIT Press, 2007
A tutorial introduction to the minimum description length principle
P Grunwald
arXiv preprint math/0406077, 2004
Game theory, maximum entropy, minimum discrepancy and robust Bayesian decision theory
PD Grünwald, AP Dawid
the Annals of Statistics 32 (4), 1367-1433, 2004
Advances in Minimum Description Length: Theory and Applications
PD Grünwald, J Myung, MA Pitt
Advances in Minimum Description Length: Theory and Applications, 2005
Model selection based on minimum description length
P Grünwald
Journal of Mathematical Psychology 44 (1), 133-152, 2000
The minimum description length principle and reasoning under uncertainty
PD Grünwald
Ph.D. thesis, University of Amsterdam, 1998
Shannon information and Kolmogorov complexity
P Grunwald, P Vitányi
arXiv preprint cs/0410002, 2004
On discriminative Bayesian network classifiers and logistic regression
T Roos, H Wettig, P Grünwald, P Myllymäki, H Tirri
Machine Learning 59 (3), 267-296, 2005
A minimum description length approach to grammar inference
P Grünwald
International Joint Conference on Artificial Intelligence, 203-216, 1995
Follow the leader if you can, hedge if you must
S de Rooij, T Van Erven, PD Grünwald, WM Koolen
Journal of Machine Learning Research (JMLR) 15, 1281-1315, 2013
Kolmogorov complexity and information theory. With an interpretation in terms of questions and answers
PD Grünwald, PMB Vitányi
Journal of Logic, Language and Information 12 (4), 497-529, 2003
Accumulative prediction error and the selection of time series models
EJ Wagenmakers, P Grünwald, M Steyvers
Journal of Mathematical Psychology 50 (2), 149-166, 2006
Inconsistency of Bayesian inference for misspecified linear models, and a proposal for repairing it
P Grünwald, T Van Ommen
Bayesian Analysis 12 (4), 1069-1103, 2017
Updating probabilities
P Grünwald, JY Halpern
J. Artif. Intell. Res.(JAIR) 19, 243-278, 2003
Suboptimal behavior of Bayes and MDL in classification under misspecification
P Grünwald, J Langford
Machine Learning 66 (2-3), 119-149, 2007
The statistical strength of nonlocality proofs
W Van Dam, RD Gill, PD Grunwald
IEEE transactions on information theory 51 (8), 2812-2835, 2005
Catching Up Faster by Switching Sooner: A predictive approach to adaptive estimation with an application to the AIC-BIC Dilemma
T van Erven, P Grünwald, S de Rooij
Journal of the Royal Statistical Society, Series B, 2011
The safe bayesian
P Grünwald
International Conference on Algorithmic Learning Theory, 169-183, 2012
On predictive distributions and Bayesian networks
P Kontkanen, P Myllymäki, T Silander, H Tirri, P Grünwald
Statistics and Computing 10 (1), 39-54, 2000
A Bayesian Perspective on Hypothesis Testing A Comment on Killeen (2005)
EJ Wagenmakers, P Grünwald
Psychological Science 17 (7), 641-642, 2006
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