Department of Psychology Title OSU Psi Logo

Department Faculty

Jay Myung

Computational cognition, Bayesian cognitive modeling, adaptive design optimization; model selection and evaluation; minimum description length; neural networks.

Selected Publications

Hou, F., Lesmes, L., Kim, W., Gu, H., Pitt, M. A., Myung, J. I., & Lu, Z.-L. (2016). Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes. Journal of Vision, 16(6):18, 1-19.

Gu, H., Kim, W., Hou, F., Lesmes, L., Pitt, M. A., Lu, Z.-L., & Myung, J. I. (2016). A hierarchical Bayesian approach to adaptive vision testing: A case study with the contrast sensitivity function. Journal of Vision, 16(6):15, 1-17.

Kim, W., Pitt, M. A., Lu, Z.-L., Steyvers, M., & Myung, J. I. (2014). A hierarchical adaptive approach to optimal experimental design. Neural Computation, 26, 2463-2492.

Montenegro, M., Myung, J. I., & Pitt, M. A. (2014). Analytic expressoins for the REM model of recognition memory. Journal of Mathematical Psychology, 60, 23-28.

Myung, J. I., Cavagnaro, D. R., & Pitt, M. A. (2013). A tutorial on adaptive design optimization. Journal of Mathematical Psychology, 57, 53-67.

Cavagnaro, D. R., Pitt, M. A., Gonzalez, R., & Myung, J. I. (2013). Discriminating among probability weighting functions using adaptive design optimization. Journal of Risk and Uncertainty, 47(3), 255-289.

Cavagnaro, D. R., Gonzalez, R., Myung, J. I., & Pitt, M. A. (2013). Optimal decision stimuli for risky choice experiments: An adaptive approach. Management Science, 59(2), 358-375.

Kim, W., Pitt, M. A., & Myung, J. I. (2013). How do PDP models learn quasiregularity? Psychological Review, 120 (4), 903-916.

Cavagnaro, D. R., Pitt, M. A. & Myung, J. I. (2011). Model disccrimination through adaptive experimentation. Psychonomic Bulletin & Review, 18(1), 204-210.

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Address

207 Psychology Building
1835 Neil Avenue
Columbus, OH 43210
(614) 292-1862
myung.1@osu.edu