Please use this identifier to cite or link to this item:
https://hdl.handle.net/2440/35582
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Type: | Journal article |
Title: | Modeling individual differences using Dirichlet processes |
Author: | Navarro, D. Griffiths, T. Steyvers, M. Lee, M. |
Citation: | Journal of Mathematical Psychology, 2006; 50(2):10-122 |
Publisher: | Academic Press Inc Elsevier Science |
Issue Date: | 2006 |
ISSN: | 0022-2496 1096-0880 |
Statement of Responsibility: | Daniel J. Navarro, Thomas L. Griffiths, Mark Steyvers and Michael D. Lee |
Abstract: | We introduce a Bayesian framework for modeling individual differences, in which subjects are assumed to belong to one of a potentially infinite number of groups. In this model, the groups observed in any particular data set are not viewed as a fixed set that fully explains the variation between individuals, but rather as representatives of a latent, arbitrarily rich structure. As more people are seen, and more details about the individual differences are revealed, the number of inferred groups is allowed to grow. We use the Dirichlet process—a distribution widely used in nonparametric Bayesian statistics—to define a prior for the model, allowing us to learn flexible parameter distributions without overfitting the data, or requiring the complex computations typically required for determining the dimensionality of a model. As an initial demonstration of the approach, we present three applications that analyze the individual differences in category learning, choice of publication outlets, and web-browsing behavior. |
Keywords: | Individual differences Dirichlet processes Bayesian nonparametrics |
Description: | Copyright © 2005 Elsevier Inc. All rights reserved. |
DOI: | 10.1016/j.jmp.2005.11.006 |
Description (link): | http://www.elsevier.com/wps/find/journaldescription.cws_home/622887/description#description |
Published version: | http://dx.doi.org/10.1016/j.jmp.2005.11.006 |
Appears in Collections: | Aurora harvest 6 Environment Institute publications Psychology publications |
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hdl_35582.pdf | Submitted version | 724.2 kB | Adobe PDF | View/Open |
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