Woojae Kim
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A survey of model evaluation approaches with a tutorial on hierarchical Bayesian methods
RM Shiffrin, MD Lee, W Kim, EJ Wagenmakers
Cognitive Science 32 (8), 1248-1284, 2008
Cognitive mechanisms underlying risky decision-making in chronic cannabis users
DJ Fridberg, S Queller, WY Ahn, W Kim, AJ Bishara, JR Busemeyer, ...
Journal of mathematical psychology 54 (1), 28-38, 2010
Global model analysis by parameter space partitioning
MA Pitt, W Kim, DJ Navarro, JI Myung
Psychological Review 113 (1), 57, 2006
A model-based fMRI analysis with hierarchical Bayesian parameter estimation
WY Ahn, A Krawitz, W Kim, JR Busemeyer, JW Brown
Journal of Neuroscience, Psychology, and Economics 4 (2), 95-110, 2011
A tutorial on Bayes factor estimation with the product space method
T Lodewyckx, W Kim, MD Lee, F Tuerlinckx, P Kuppens, ...
Journal of Mathematical Psychology 55 (5), 331-347, 2011
Flexibility versus generalizability in model selection
MA Pitt, W Kim, IJ Myung
Psychonomic Bulletin & Review 10 (1), 29-44, 2003
Model evaluation, testing and selection
IJ Myung, MA Pitt, W Kim
Handbook of cognition, 422-436, 2005
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
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), 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
Global model analysis by landscaping
DJ Navarro, IJ Myung, MA Pitt, W Kim
Proceedings of the Cognitive Science Society 25, 2003
Generalization from newly learned words reveals structural properties of the human reading system
BC Armstrong, N Dumay, W Kim, MA Pitt
Journal of Experimental Psychology: General 146 (2), 227, 2017
An MCMC-based method of comparing connectionist models in cognitive science
W Kim, D Navarro, M Pitt, I Myung
Advances in neural information processing systems 16, 937-944, 2003
Planning beyond the next trial in adaptive experiments: A dynamic programming approach
W Kim, MA Pitt, ZL Lu, JI Myung
Cognitive Science 41 (8), 2234-2252, 2017
How do PDP models learn quasiregularity?
W Kim, MA Pitt, JI Myung
Psychological review 120 (4), 903, 2013
A theoretical note on the prior information criterion
S Steegen, W Kim, W Pestman, F Tuerlinckx, W Vanpaemel
Journal of Mathematical Psychology 80, 33-39, 2017
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 Cognitive Science Society 36, 2014
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Articles 1–17