Jay Myung
Jay Myung
Professor, Department of Psychology, Ohio State University
Dirección de correo verificada de osu.edu - Página principal
TítuloCitado porAño
Robust modeling through design optimization
MA Pitt, JI Myung
Computational Brain & Behavior 2 (3-4), 200-201, 2019
12019
ADOpy: A Python Package for Adaptive Design Optimization
J Yang, MA Pitt, W Ahn, JI Myung
12019
Rapid, precise, and reliable phenotyping of delay discounting using a Bayesian learning algorithm
WY Ahn, H Gu, Y Shen, N Haines, HA Hahn, JE Teater, JI Myung, MA Pitt
bioRxiv, 567412, 2019
12019
Mechanisms underlying the spacing effect in learning: A comparison of three computational models.
MM Walsh, KA Gluck, G Gunzelmann, T Jastrzembski, M Krusmark, ...
Journal of Experimental Psychology: General 147 (9), 1325, 2018
62018
Model comparison in psychology
JI Myung, MA Pitt
Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience 5, 1-34, 2018
72018
Assessing the Validity of Three Tasks of Risk-Taking Propensity: Behavioral Measure and Computational Modeling.
R Zhou, JI Myung, C Mathews, MA Pitt
CogSci, 2018
2018
Computational Modeling of Cognitive Control in a Flanker Task.
SH Lee, MA Pitt, JI Myung
CogSci, 2018
2018
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
52017
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
Predicting the Contrast Sensitivity Function in Different Luminance Conditions
F Hou, LA Lesmes, W Kim, H Gu, M Pitt, J Myung, ZL Lu
Investigative Ophthalmology & Visual Science 58 (8), 4221-4221, 2017
12017
Bayesian Hierarchical Models
W Batchelder, H Colonius, E Dzhafarov, JI Myung
New Handbook of Mathematical Psychology, Voume. 1: Measurement and Methodology, 2017
2017
New Handbook of Mathematical Psychology: Volume 1, Foundations and Methodology
WH Batchelder, H Colonius, EN Dzhafarov, J Myung
Cambridge University Press, 2016
12016
On the functional form of temporal discounting: An optimized adaptive test
DR Cavagnaro, GJ Aranovich, SM McClure, MA Pitt, JI Myung
Journal of risk and uncertainty 52 (3), 233-254, 2016
252016
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
212016
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
H Gu, W Kim, F Hou, LA Lesmes, MA Pitt, ZL Lu, JI Myung
2016
Evaluating the performance of the
F Hou, LA Lesmes, W Kim, H Gu, MA Pitt, JI Myung, ZL Lu
12016
Model evaluation and selection
JI Myung, DR Cavagnaro, MA Pitt
New handbook of mathematical psychology 1, 552-598, 2016
102016
Evaluating the Performance of the Quick CSF Method in Detecting CSF Changes: An Assay Calibration Study
F Hou, L Lesmes, W Kim, H Gu, M Pitt, J Myung, ZL Lu
Ohio State University. Translational Data Analytics@ Ohio State, 2015
2015
Hierarchical Bayesian adaptive estimation of the contrast sensitivity function: Part II--effect of type of prior
M Pitt, H Gu, F Hou, W Kim, ZL Lu, J Myung
Investigative Ophthalmology & Visual Science 56 (7), 3898-3898, 2015
2015
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Artículos 1–20