Michael D. Lee
Affiliations: | University of California, Irvine, Irvine, CA |
Area:
Higher-order cognitionWebsite:
http://www.socsci.uci.edu/~mdleeGoogle:
"Michael Lee"Mean distance: 22.75 (cluster 23)
Cross-listing: PsychTree
Children
Sign in to add trainee| Daniela P. Amado | research assistant | UC San Diego/ SIO | |
| Matthew Tillis | research assistant | ||
| Matthew Dry | grad student | University of Adelaide (PsychTree) | |
| Percy K Mistry | grad student | UC Irvine (PsychTree) | |
| Daniel J. Navarro | grad student | 2000-2002 | The University of Adelaide |
| Matthew D. Zeigenfuse | grad student | 2010 | UC Irvine |
| Shunan Zhang | grad student | 2012 | UC Irvine |
| James P. Pooley | grad student | 2013 | UC Irvine |
Collaborators
Sign in to add collaborator| Geoffrey Iverson | collaborator | UC Irvine (PsychTree) | |
| Mark Steyvers | collaborator | UC Irvine | |
| Eric-Jan Wagenmakers | collaborator | UC Irvine |
BETA: Related publications
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Publications
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| Aczel B, Hoekstra R, Gelman A, et al. (2020) Discussion points for Bayesian inference. Nature Human Behaviour |
| Villarreal M, Velázquez C, Baroja JL, et al. (2019) Bayesian methods applied to the generalized matching law. Journal of the Experimental Analysis of Behavior |
| Lee MD, Nadiadwala A, Shankle WR. (2018) P2-516: Characterizing Memory Processing Across The Human Lifespan: A Large Sample Analysis Using Hierarchical Bayesian Cognitive Processing Models Alzheimers & Dementia. 14 |
| Danileiko I, Lee MD. (2017) A Model-Based Approach to the Wisdom of the Crowd in Category Learning. Cognitive Science |
| Steingroever H, Pachur T, Šmíra M, et al. (2017) Bayesian techniques for analyzing group differences in the Iowa Gambling Task: A case study of intuitive and deliberate decision-makers. Psychonomic Bulletin & Review |
| Okada K, Vandekerckhove J, Lee MD. (2017) Modeling when people quit: Bayesian censored geometric models with hierarchical and latent-mixture extensions. Behavior Research Methods |
| Lee MD, Vanpaemel W. (2017) Determining informative priors for cognitive models. Psychonomic Bulletin & Review |
| Matzke D, Ly A, Selker R, et al. (2017) Bayesian Inference for Correlations in the Presence of Measurement Error and Estimation Uncertainty Collabra: Psychology. 3 |
| Lee MD, Blanco G, Bo N. (2016) Testing take-the-best in new and changing environments. Behavior Research Methods |
| Wagenmakers EJ, Morey RD, Lee MD. (2016) Bayesian Benefits for the Pragmatic Researcher Current Directions in Psychological Science. 25: 169-176 |