Jay Myung
Affiliations: | Ohio State University, Columbus, Columbus, OH |
Area:
Model comparisonGoogle:
"Jay Myung"Mean distance: 16.57 (cluster 50)
Children
Sign in to add trainee| Daniel R. Cavagnaro | post-doc | 2008- | Ohio State |
| Inhan Kang | post-doc | 2022- | Ohio State |
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Publications
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| Pereira CLW, Zhou R, Pitt MA, et al. (2022) Probabilistic Decision-Making in Children With Dyslexia. Frontiers in Neuroscience. 16: 782306 |
| Lee SH, Kim D, Opfer JE, et al. (2021) A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation. Psychonomic Bulletin & Review |
| Zhou R, Myung JI, Pitt MA. (2021) The scaled target learning model: Revisiting learning in the balloon analogue risk task. Cognitive Psychology. 128: 101407 |
| Chang J, Kim J, Zhang BT, et al. (2021) Data-driven experimental design and model development using Gaussian process with active learning. Cognitive Psychology. 125: 101360 |
| Yang J, Pitt MA, Ahn WY, et al. (2020) ADOpy: a python package for adaptive design optimization. Behavior Research Methods |
| Ahn WY, Gu H, Shen Y, et al. (2020) Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm. Scientific Reports. 10: 12091 |
| Chang J, Nikolaev P, Carpena-Núñez J, et al. (2020) Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization. Scientific Reports. 10: 9040 |
| Haines N, Beauchaine TP, Galdo M, et al. (2020) Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis Clinical Psychological Science. 8: 1017-1036 |
| Bahg G, Sederberg PB, Myung JI, et al. (2020) Real-time Adaptive Design Optimization Within Functional MRI Experiments Computational Brain & Behavior. 3: 400-429 |
| Pitt MA, Myung JI. (2019) Robust Modeling Through Design Optimization Computational Brain & Behavior. 2: 200-201 |