| Year |
Citation |
Score |
| 2022 |
Pereira CLW, Zhou R, Pitt MA, Myung JI, Rossi PJ, Caverzasi E, Rah E, Allen IE, Mandelli ML, Meyer M, Miller ZA, Gorno Tempini ML. Probabilistic Decision-Making in Children With Dyslexia. Frontiers in Neuroscience. 16: 782306. PMID 35769704 DOI: 10.3389/fnins.2022.782306 |
0.525 |
|
| 2021 |
Lee SH, Kim D, Opfer JE, Pitt MA, Myung JI. A number-line task with a Bayesian active learning algorithm provides insights into the development of non-symbolic number estimation. Psychonomic Bulletin & Review. PMID 34918270 DOI: 10.3758/s13423-021-02041-5 |
0.526 |
|
| 2021 |
Zhou R, Myung JI, Pitt MA. The scaled target learning model: Revisiting learning in the balloon analogue risk task. Cognitive Psychology. 128: 101407. PMID 34218133 DOI: 10.1016/j.cogpsych.2021.101407 |
0.593 |
|
| 2021 |
Chang J, Kim J, Zhang BT, Pitt MA, Myung JI. Data-driven experimental design and model development using Gaussian process with active learning. Cognitive Psychology. 125: 101360. PMID 33472104 DOI: 10.1016/j.cogpsych.2020.101360 |
0.663 |
|
| 2020 |
Yang J, Pitt MA, Ahn WY, Myung JI. ADOpy: a python package for adaptive design optimization. Behavior Research Methods. PMID 32901345 DOI: 10.3758/S13428-020-01386-4 |
0.744 |
|
| 2020 |
Ahn WY, Gu H, Shen Y, Haines N, Hahn HA, Teater JE, Myung JI, Pitt MA. Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm. Scientific Reports. 10: 12091. PMID 32694654 DOI: 10.1038/S41598-020-68587-X |
0.694 |
|
| 2020 |
Chang J, Nikolaev P, Carpena-Núñez J, Rao R, Decker K, Islam AE, Kim J, Pitt MA, Myung JI, Maruyama B. Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization. Scientific Reports. 10: 9040. PMID 32493911 DOI: 10.1038/S41598-020-64397-3 |
0.57 |
|
| 2020 |
Haines N, Beauchaine TP, Galdo M, Rogers AH, Hahn H, Pitt MA, Myung JI, Turner BM, Ahn W. Anxiety Modulates Preference for Immediate Rewards Among Trait-Impulsive Individuals: A Hierarchical Bayesian Analysis Clinical Psychological Science. 8: 1017-1036. DOI: 10.1177/2167702620929636 |
0.565 |
|
| 2019 |
Pitt MA, Myung JI. Robust Modeling Through Design Optimization Computational Brain & Behavior. 2: 200-201. DOI: 10.1007/S42113-019-00050-1 |
0.634 |
|
| 2018 |
Walsh MM, Gluck KA, Gunzelmann G, Jastrzembski T, Krusmark M, Myung JI, Pitt MA, Zhou R. Mechanisms underlying the spacing effect in learning: A comparison of three computational models. Journal of Experimental Psychology. General. 147: 1325-1348. PMID 30148385 DOI: 10.1037/Xge0000416 |
0.557 |
|
| 2017 |
Aranovich GJ, Cavagnaro DR, Pitt MA, Myung JI, Mathews CA. A model-based analysis of decision making under risk in obsessive-compulsive and hoarding disorders. Journal of Psychiatric Research. 90: 126-132. PMID 28279877 DOI: 10.1016/J.Jpsychires.2017.02.017 |
0.74 |
|
| 2016 |
Cavagnaro DR, Aranovich GJ, McClure SM, Pitt MA, Myung JI. On the Functional Form of Temporal Discounting: An Optimized Adaptive Test. Journal of Risk and Uncertainty. 52: 233-254. PMID 29332995 DOI: 10.1007/S11166-016-9242-Y |
0.797 |
|
| 2016 |
Kim W, Pitt MA, Lu ZL, Myung JI. Planning Beyond the Next Trial in Adaptive Experiments: A Dynamic Programming Approach. Cognitive Science. PMID 27988934 DOI: 10.1111/Cogs.12467 |
0.734 |
|
| 2016 |
Hou F, Lesmes LA, Kim W, Gu H, Pitt MA, Myung JI, Lu ZL. Evaluating the performance of the quick CSF method in detecting contrast sensitivity function changes. Journal of Vision. 16: 18. PMID 27120074 DOI: 10.1167/16.6.18 |
0.661 |
|
| 2016 |
Gu H, Kim W, Hou F, Lesmes LA, Pitt MA, Lu ZL, Myung JI. A hierarchical Bayesian approach to adaptive vision testing: A case study with the contrast sensitivity function. Journal of Vision. 16: 15. PMID 27105061 DOI: 10.1167/16.6.15 |
0.718 |
|
| 2014 |
Kim W, Pitt MA, Lu ZL, Steyvers M, Myung JI. A hierarchical adaptive approach to optimal experimental design. Neural Computation. 26: 2465-92. PMID 25149697 DOI: 10.1162/Neco_A_00654 |
0.748 |
|
| 2014 |
Montenegro M, Myung JI, Pitt MA. Analytical Expressions for the REM Model of Recognition Memory. Journal of Mathematical Psychology. 60: 23-28. PMID 25089060 DOI: 10.1016/J.Jmp.2014.05.003 |
0.55 |
|
| 2013 |
Cavagnaro DR, Gonzalez R, Myung JI, Pitt MA. Optimal Decision Stimuli for Risky Choice Experiments: An Adaptive Approach. Management Science. 59: 358-375. PMID 24532856 DOI: 10.1287/Mnsc.1120.1558 |
0.791 |
|
| 2013 |
Cavagnaro DR, Pitt MA, Gonzalez R, Myung JI. Discriminating Among Probability Weighting Functions Using Adaptive Design Optimization. Journal of Risk and Uncertainty. 47: 255-289. PMID 24453406 DOI: 10.1007/S11166-013-9179-3 |
0.793 |
|
| 2013 |
Kim W, Pitt MA, Myung JI. How do PDP models learn quasiregularity? Psychological Review. 120: 903-16. PMID 24015955 DOI: 10.1037/A0034195 |
0.677 |
|
| 2013 |
Myung JI, Cavagnaro DR, Pitt MA. A Tutorial on Adaptive Design Optimization. Journal of Mathematical Psychology. 57: 53-67. PMID 23997275 DOI: 10.1016/J.Jmp.2013.05.005 |
0.794 |
|
| 2011 |
Cavagnaro DR, Pitt MA, Myung JI. Model discrimination through adaptive experimentation. Psychonomic Bulletin & Review. 18: 204-10. PMID 21327352 DOI: 10.3758/S13423-010-0030-4 |
0.806 |
|
| 2010 |
Wu H, Myung JI, Batchelder WH. Minimum description length model selection of multinomial processing tree models. Psychonomic Bulletin & Review. 17: 275-86. PMID 20551349 DOI: 10.3758/Pbr.17.3.275 |
0.327 |
|
| 2010 |
Cavagnaro DR, Myung JI, Pitt MA, Kujala JV. Adaptive design optimization: a mutual information-based approach to model discrimination in cognitive science. Neural Computation. 22: 887-905. PMID 20028226 DOI: 10.1162/Neco.2009.02-09-959 |
0.793 |
|
| 2009 |
Myung JI, Pitt MA. Optimal experimental design for model discrimination. Psychological Review. 116: 499-518. PMID 19618983 DOI: 10.1037/A0016104 |
0.65 |
|
| 2009 |
Myung JI, Tang Y, Pitt MA. Evaluation and comparison of computational models. Methods in Enzymology. 454: 287-304. PMID 19216931 DOI: 10.1016/S0076-6879(08)03811-1 |
0.593 |
|
| 2009 |
Cavagnaro DR, Pitt MA, Myung JI. Adaptive design optimization in experiments with people Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 234-242. |
0.779 |
|
| 2008 |
Pitt MA, Myung JI, Montenegro M, Pooley J. Measuring model flexibility with parameter space partitioning: an introduction and application example. Cognitive Science. 32: 1285-303. PMID 21585454 DOI: 10.1080/03640210802477534 |
0.619 |
|
| 2007 |
Myung JI, Montenegro M, Pitt MA. Analytic Expressions for the BCDMEM Model of Recognition Memory. Journal of Mathematical Psychology. 51: 198-204. PMID 18516213 DOI: 10.1016/J.Jmp.2007.02.001 |
0.547 |
|
| 2007 |
Myung JI, Pitt MA, Navarro DJ. Does response scaling cause the generalized context model to mimic a prototype model? Psychonomic Bulletin & Review. 14: 1043-50. PMID 18229473 DOI: 10.3758/Bf03193089 |
0.629 |
|
| 2007 |
Pitt MA, Myung JI, Altieri N. Modeling the word recognition data of Vitevitch and Luce (1998): is it ARTful? Psychonomic Bulletin & Review. 14: 442-8. PMID 17874585 DOI: 10.3758/Bf03194086 |
0.543 |
|
| 2006 |
Pitt MA, Kim W, Navarro DJ, Myung JI. Global model analysis by parameter space partitioning. Psychological Review. 113: 57-83. PMID 16478301 DOI: 10.1037/0033-295X.113.1.57 |
0.72 |
|
| 2006 |
Myung JI, Navarro DJ, Pitt MA. Model selection by normalized maximum likelihood Journal of Mathematical Psychology. 50: 167-179. DOI: 10.1016/J.Jmp.2005.06.008 |
0.591 |
|
| 2005 |
Myung JI, Pitt MA, Navarro DJ. Model selection in cognitive science as an inverse problem Proceedings of Spie - the International Society For Optical Engineering. 5674: 219-228. DOI: 10.1117/12.610320 |
0.6 |
|
| 2004 |
Myung JI, Pitt MA. Model comparison methods. Methods in Enzymology. 383: 351-66. PMID 15063657 DOI: 10.1016/S0076-6879(04)83014-3 |
0.6 |
|
| Show low-probability matches. |