Jay Myung

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Mark PittProfessor, Ohio State UniversityE-mail confirmado em osu.edu
Daniel R. CavagnaroCalifornia State University FullertonE-mail confirmado em fullerton.edu
Woojae KimHoward UniversityE-mail confirmado em howard.edu
Zhong-Lin LuNYU Shanghai and NYUE-mail confirmado em nyu.edu
Jerome BusemeyerIndiana UniversityE-mail confirmado em indiana.edu
Benji MaruyamaAir Force Research LaboratoryE-mail confirmado em us.af.mil
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityE-mail confirmado em cwi.nl
Woo-Young (Young) AhnSeoul National UniversityE-mail confirmado em snu.ac.kr
Vijay BalasubramanianUniversity of PennsylvaniaE-mail confirmado em physics.upenn.edu
Maximiliano MontenegroResearcherE-mail confirmado em factoriaideas.cl
Cheongtag KimDepartment of Psychology, Seoul National UniversityE-mail confirmado em snu.ac.kr
Brandon TurnerThe Ohio State UniversityE-mail confirmado em osu.edu
Nathaniel HainesData Scientist and Computational PsychologistE-mail confirmado em osu.edu
Janne V. KujalaUniversity of TurkuE-mail confirmado em utu.fi
Mark SteyversUniversity of California, IrvineE-mail confirmado em uci.edu
Theodore BeauchaineUniversity of Notre DameE-mail confirmado em nd.edu
John OpferProfessor, Department of Psychology, The Ohio State UniversityE-mail confirmado em osu.edu
Sridhar RamamoortiUniversity of DaytonE-mail confirmado em udayton.edu
Ahmad Ehteshamul IslamUS Air Force Research LaboratoryE-mail confirmado em us.af.mil
Pavel NikolaevAFRL / UES Inc.E-mail confirmado em us.af.mil

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Jay Myung

Professor, Department of Psychology, Ohio State University

E-mail confirmado em osu.edu - Página inicial

computational cognition autonomous experimentation machine learning Bayesian optimization


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
Tutorial on maximum likelihood estimation IJ Myung Journal of mathematical Psychology 47 (1), 90-100, 2003	2660	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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