Jay Myung
Jay Myung
Professor, Department of Psychology, Ohio State University
Dirección de correo verificada de osu.edu - Página principal
TítuloCitado porAño
16 Minimum Description Length and Cognitive Modeling
Y Su, IJ Myung, MA Pitt
Minimum, 411, 2005
272005
21 Mathematical Modeling
DR Cavagnaro, JI Myung, MA Pitt
The Oxford Handbook of Quantitative Methods, 438, 0
1
A Bayesian approach to testing decision making axioms
JI Myung, G Karabatsos, GJ Iverson
Journal of Mathematical Psychology 49 (3), 205-225, 2005
862005
A COMPUTATIONAL HYPOTHESIS OF PROBABILITY INFERENCE IN NEURAL NETWORKS AND SOME RELATIONS TO PSYCHOLOGICAL MODELS
IJ MYUNG, CM COLBERT, WB LEVY
Journal of Biological Systems 2 (03), 367-384, 1994
1994
A hierarchical adaptive approach to optimal experimental design
W Kim, MA Pitt, ZL Lu, M Steyvers, JI Myung
Neural computation 26 (11), 2465-2492, 2014
452014
A Hierarchical Adaptive Approach to the Optimal Design of Experiments
W Kim, M Pitt, ZL Lu, M Steyvers, H Gu, J Myung
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
2014
A hierarchical Bayesian approach to
H Gu, W Kim, F Hou, LA Lesmes, MA Pitt, ZL Lu, JI Myung
2016
A hierarchical Bayesian approach to adaptive vision testing: A case study with the contrast sensitivity function
H Gu, W Kim, F Hou, LA Lesmes, MA Pitt, ZL Lu, JI Myung
Journal of vision 16 (6), 15-15, 2016
152016
A Hierarchical Bayesian Approach to Assessing Between-Experiment Generalizability of Models of Risky Decision Making
Y Tang, JI Myung, MA Pitt
A large-sample study for evaluating the precision of the quick CSF method
ZL Lu, F Hou, LA Lesmes, W Kim, H Gu, M Pitt, J Myung
Investigative Ophthalmology & Visual Science 56 (7), 3899-3899, 2015
2015
A Minimum Description Length Approach for Selecting among Qualitative Models of Cognition
IJ Myung, MA Pitt
Journal of Cognitive Science 2 (1), 1-11, 2001
2001
A model-based analysis of decision making under risk in obsessive-compulsive and hoarding disorders
GJ Aranovich, DR Cavagnaro, MA Pitt, JI Myung, CA Mathews
Journal of psychiatric research 90, 126-132, 2017
92017
A new method for investigating prototype learning.
JR Busemeyer, IJ Myung
Journal of Experimental Psychology: Learning, Memory, and Cognition 14 (1), 3, 1988
591988
A statistician’s view on Bayesian evaluation of informative hypotheses
JI Myung, G Karabatsos, GJ Iverson
Bayesian evaluation of informative hypotheses, 309-327, 2008
142008
A Statisticians View on Informed Hypotheses
JI Myung, G Karabatsos, GJ Iverson
A tutorial on adaptive design optimization
JI Myung, DR Cavagnaro, MA Pitt
Journal of mathematical psychology 57 (3-4), 53-67, 2013
612013
ACCEPTED VERSION
DJ Navarro
Neural Computation 16 (9), 1763-1768, 2004
2004
Adaptive design optimization in experiments with people
D Cavagnaro, J Myung, MA Pitt
Advances in neural information processing systems, 234-242, 2009
82009
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
1182010
Adaptive Estimation of Psychometric Slope and Threshold with Differential Evolution
H Gu, J Myung, M Pitt, ZL Lu
Proceedings of the Annual Meeting of the Cognitive Science Society 35 (35), 2013
2013
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Artículos 1–20