Jay Myung

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Mark PittProfessor, Ohio State UniversityVerifierad e-postadress på osu.edu
Daniel R. CavagnaroCalifornia State University FullertonVerifierad e-postadress på fullerton.edu
Woojae KimHoward UniversityVerifierad e-postadress på howard.edu
Zhong-Lin LuNYU Shanghai and NYUVerifierad e-postadress på nyu.edu
Jerome BusemeyerIndiana UniversityVerifierad e-postadress på indiana.edu
Benji MaruyamaAir Force Research LaboratoryVerifierad e-postadress på us.af.mil
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityVerifierad e-postadress på cwi.nl
Woo-Young (Young) AhnSeoul National UniversityVerifierad e-postadress på snu.ac.kr
Vijay BalasubramanianUniversity of PennsylvaniaVerifierad e-postadress på physics.upenn.edu
Maximiliano MontenegroResearcherVerifierad e-postadress på factoriaideas.cl
Cheongtag KimDepartment of Psychology, Seoul National UniversityVerifierad e-postadress på snu.ac.kr
Brandon TurnerThe Ohio State UniversityVerifierad e-postadress på osu.edu
Nathaniel HainesData Scientist and Computational PsychologistVerifierad e-postadress på osu.edu
Janne V. KujalaUniversity of TurkuVerifierad e-postadress på utu.fi
Mark SteyversUniversity of California, IrvineVerifierad e-postadress på uci.edu
Theodore BeauchaineUniversity of Notre DameVerifierad e-postadress på nd.edu
John OpferProfessor, Department of Psychology, The Ohio State UniversityVerifierad e-postadress på osu.edu
Sridhar RamamoortiUniversity of DaytonVerifierad e-postadress på udayton.edu
Ahmad Ehteshamul IslamUS Air Force Research LaboratoryVerifierad e-postadress på us.af.mil
Pavel NikolaevAFRL / UES Inc.Verifierad e-postadress på us.af.mil

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Jay Myung

Professor, Department of Psychology, Ohio State University

Verifierad e-postadress på osu.edu - Startsida

computational cognition autonomous experimentation machine learning Bayesian optimization


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Tutorial on maximum likelihood estimation IJ Myung Journal of mathematical Psychology 47 (1), 90-100, 2003	2662	2003
The importance of complexity in model selection IJ Myung Journal of mathematical psychology 44 (1), 190-204, 2000	683	2000
Toward a method of selecting among computational models of cognition. MA Pitt, IJ Myung, S Zhang Psychological review 109 (3), 472, 2002	655	2002
When a good fit can be bad MA Pitt, IJ Myung Trends in cognitive sciences 6 (10), 421-425, 2002	562	2002
Advances in minimum description length: Theory and applications PD Grünwald, IJ Myung, MA Pitt MIT press, 2005	550	2005
Applying Occam’s razor in modeling cognition: A Bayesian approach IJ Myung, MA Pitt Psychonomic bulletin & review 4, 79-95, 1997	540	1997
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	289	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	246	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	215	2010
Optimal experimental design for model discrimination. JI Myung, MA Pitt Psychological review 116 (3), 499, 2009	190	2009
Global model analysis by parameter space partitioning. MA Pitt, W Kim, DJ Navarro, JI Myung Psychological Review 113 (1), 57, 2006	184	2006
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	176	2000
A tutorial on adaptive design optimization JI Myung, DR Cavagnaro, MA Pitt Journal of mathematical psychology 57 (3-4), 53-67, 2013	171	2013
Model selection by normalized maximum likelihood JI Myung, DJ Navarro, MA Pitt Journal of Mathematical Psychology 50 (2), 167-179, 2006	167	2006
GUEST EDITORS'INTRODUCTION: special issue on model selection IJ Myung, MR Forster, MW Browne Journal of Mathematical Psychology 44 (1), 1-2, 2000	153	2000
Assessing the distinguishability of models and the informativeness of data DJ Navarro, MA Pitt, IJ Myung Cognitive psychology 49 (1), 47-84, 2004	124	2004
Toward autonomous additive manufacturing: Bayesian optimization on a 3D printer JR Deneault, J Chang, J Myung, D Hooper, A Armstrong, M Pitt, ... MRS Bulletin 46, 566-575, 2021	119	2021
Model comparison methods JI Myung, MA Pitt Methods in enzymology 383, 351-366, 2004	109	2004
A Bayesian approach to testing decision making axioms JI Myung, G Karabatsos, GJ Iverson Journal of Mathematical Psychology 49 (3), 205-225, 2005	108	2005
Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes F Hou, LA Lesmes, W Kim, H Gu, MA Pitt, JI Myung, ZL Lu Journal of vision 16 (6), 18-18, 2016	94	2016

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