Peter Grünwald - Google Scholar Citations

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Petri MyllymakiProfessor of Computer Science, University of HelsinkiVerified email at helsinki.fi
Tim van ErvenAssistant professor at Leiden University, the NetherlandsVerified email at math.leidenuniv.nl
Wouter M. KoolenCentrum Wiskunde & InformaticaVerified email at cwi.nl
Teemu RoosAssociate Professor at University of HelsinkiVerified email at cs.helsinki.fi
Paul VitanyiCWI and University of AmsterdamVerified email at cwi.nl
Jay MyungProfessor, Department of Psychology, Ohio State UniversityVerified email at osu.edu
Joseph HalpernProfessor of Computer Science, Cornell UniversityVerified email at cs.cornell.edu
Wojciech KotlowskiPoznan University of TechnologyVerified email at cs.put.poznan.pl
Philip DawidEmeritus Professor of Statistics, University of CambridgeVerified email at statslab.cam.ac.uk
Nishant A. MehtaAssistant Professor, University of VictoriaVerified email at uvic.ca
Thijs van OmmenAssistant Professor at Utrecht UniversityVerified email at uu.nl
Richard D. GillProfessor of Mathematical Statistics, Leiden UniversityVerified email at math.leidenuniv.nl
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Rianne de HeidePhD Candidate, Leiden University & CWI AmsterdamVerified email at cwi.nl
Wim van DamProfessor of Computer Science and Physics, UC Santa BarbaraVerified email at ucsb.edu
Robert C. WilliamsonProfessor of Computer Science, Australian National University; Distinguished Researcher, DATA61Verified email at anu.edu.au
Mark D. ReidResearch Fellow, The Australian National University and NICTAVerified email at anu.edu.au
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Stéphanie van der PasAssistant professor in Statistics, Leiden UniversityVerified email at math.leidenuniv.nl

Peter Grünwald

Group Leader Machine Learning, CWI; Professor of Statistics, Leiden University

Verified email at cwi.nl - Homepage

machine learning statistics information theory foundations of probability statistics and the law


Title	Cited by	Year
The minimum description length principle PD Grünwald The MIT Press, 2007	1341	2007
A tutorial introduction to the minimum description length principle P Grunwald arXiv preprint math/0406077, 2004	482	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	410	2004
Advances in Minimum Description Length: Theory and Applications PD Grünwald, J Myung, MA Pitt Advances in Minimum Description Length: Theory and Applications, 2005	385	2005
Model selection based on minimum description length P Grünwald Journal of mathematical psychology 44 (1), 133-152, 2000	182	2000
The minimum description length principle and reasoning under uncertainty PD Grünwald Ph.D. thesis, University of Amsterdam, 1998	148	1998
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	137	2005
Shannon information and Kolmogorov complexity P Grunwald, P Vitányi arXiv preprint cs/0410002, 2004	137	2004
A minimum description length approach to grammar inference P Grünwald International Joint Conference on Artificial Intelligence, 203-216, 1995	129	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	103	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	101	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	95	2006
Updating probabilities P Grünwald, JY Halpern J. Artif. Intell. Res.(JAIR) 19, 243-278, 2003	84	2003
The statistical strength of nonlocality proofs W Van Dam, RD Gill, PD Grunwald IEEE Transactions on Information Theory 51 (8), 2812-2835, 2005	75	2005
Suboptimal behavior of Bayes and MDL in classification under misspecification P Grünwald, J Langford Machine Learning 66 (2-3), 119-149, 2007	71*	2007
Catching up faster by switching sooner: a predictive approach to adaptive estimation with an application to the AIC–BIC dilemma T Erven, P Grünwald, S De Rooij Journal of the Royal Statistical Society: Series B (Statistical Methodology …, 2012	64	2012
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	64	2011
On predictive distributions and Bayesian networks P Kontkanen, P Myllymäki, T Silander, H Tirri, P Grünwald Statistics and Computing 10 (1), 39-54, 2000	60	2000
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	57	2017
A Bayesian Perspective on Hypothesis Testing A Comment on Killeen (2005) EJ Wagenmakers, P Grünwald Psychological Science 17 (7), 641-642, 2006	57	2006

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