Jay Myung

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Mark PittProfessor, Ohio State UniversityVerified email at osu.edu
Daniel R. CavagnaroCalifornia State University FullertonVerified email at fullerton.edu
Woojae KimHoward UniversityVerified email at howard.edu
Zhong-Lin LuNYU Shanghai and NYUVerified email at nyu.edu
Jerome BusemeyerIndiana UniversityVerified email at indiana.edu
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerified email at cwi.nl
Vijay BalasubramanianUniversity of PennsylvaniaVerified email at physics.upenn.edu
Cheongtag KimDepartment of Psychology, Seoul National UniversityVerified email at snu.ac.kr
Maximiliano MontenegroProfessor of Science Education, Pontificia Universidad Católica de ChileVerified email at uc.cl
Woo-Young AhnSeoul National UniversityVerified email at snu.ac.kr
Janne V. KujalaUniversity of TurkuVerified email at utu.fi
Mark SteyversUniversity of California, IrvineVerified email at uci.edu
Benji MaruyamaAir Force Research LaboratoryVerified email at us.af.mil
John OpferProfessor, Department of Psychology, The Ohio State UniversityVerified email at osu.edu
Nathaniel HainesComputational PsychologistVerified email at osu.edu
Sridhar RamamoortiUniversity of DaytonVerified email at udayton.edu
Samuel M. McClureDepartment of Psychology, Arizona State UniversityVerified email at asu.edu
Glenn GunzelmannVerified email at us.af.mil
Matthew WalshRAND CorporationVerified email at rand.org
Jaeyeong YangSeoul National UniversityVerified email at snu.ac.kr

Jay Myung

Professor, Department of Psychology, Ohio State University

Verified email at osu.edu - Homepage

mathematical psychology cognitive modeling optimal experimental design model selection


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Tutorial on maximum likelihood estimation IJ Myung Journal of mathematical Psychology 47 (1), 90-100, 2003	2080	2003
The importance of complexity in model selection IJ Myung Journal of mathematical psychology 44 (1), 190-204, 2000	624	2000
Toward a method of selecting among computational models of cognition. MA Pitt, IJ Myung, S Zhang Psychological review 109 (3), 472, 2002	615	2002
When a good fit can be bad MA Pitt, IJ Myung Trends in cognitive sciences 6 (10), 421-425, 2002	510	2002
Applying Occam’s razor in modeling cognition: A Bayesian approach IJ Myung, MA Pitt Psychonomic bulletin & review 4, 79-95, 1997	503	1997
Advances in minimum description length: Theory and applications PD Grünwald, IJ Myung, MA Pitt MIT press, 2005	472	2005
An adaptive approach to human decision making: Learning theory, decision theory, and human performance. JR Busemeyer, IJ Myung Journal of Experimental Psychology: General 121 (2), 177, 1992	276	1992
Counting probability distributions: Differential geometry and model selection IJ Myung, V Balasubramanian, MA Pitt Proceedings of the National Academy of Sciences 97 (21), 11170-11175, 2000	223	2000
Adaptive design optimization: A mutual information-based approach to model discrimination in cognitive science DR Cavagnaro, JI Myung, MA Pitt, JV Kujala Neural computation 22 (4), 887-905, 2010	172	2010
Optimal experimental design for model discrimination. JI Myung, MA Pitt Psychological review 116 (3), 499, 2009	169	2009
Toward an explanation of the power law artifact: Insights from response surface analysis IJ Myung, C Kim, MA Pitt Memory & cognition 28, 832-840, 2000	165	2000
Global model analysis by parameter space partitioning. MA Pitt, W Kim, DJ Navarro, JI Myung Psychological Review 113 (1), 57, 2006	161	2006
Model selection by normalized maximum likelihood JI Myung, DJ Navarro, MA Pitt Journal of Mathematical Psychology 50 (2), 167-179, 2006	152	2006
GUEST EDITORS'INTRODUCTION: special issue on model selection IJ Myung, MR Forster, MW Browne Journal of Mathematical Psychology 44 (1), 1-2, 2000	130	2000
Assessing the distinguishability of models and the informativeness of data DJ Navarro, MA Pitt, IJ Myung Cognitive psychology 49 (1), 47-84, 2004	118	2004
A tutorial on adaptive design optimization JI Myung, DR Cavagnaro, MA Pitt Journal of mathematical psychology 57 (3-4), 53-67, 2013	117	2013
Mathematical modeling IJ Myung, MA Pitt Stevens’ handbook of experimental psychology 4, 429-460, 2002	105	2002
A Bayesian approach to testing decision making axioms JI Myung, G Karabatsos, GJ Iverson Journal of Mathematical Psychology 49 (3), 205-225, 2005	100	2005
Model comparison methods JI Myung, MA Pitt Methods in enzymology 383, 351-366, 2004	99	2004
Maximum entropy interpretation of decision bound and context models of categorization IJ Myung Journal of Mathematical Psychology 38 (3), 335-365, 1994	86	1994

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