A Bayesian approach to diffusion models of decision-making and response time
| dc.contributor.author | Lee, M. | en |
| dc.contributor.author | Fuss, I. | en |
| dc.contributor.author | Navarro, D. | en |
| dc.contributor.conference | Annual Conference on Neural Information Processing Systems (20th : 2006 : Vancouver, Canada) | en |
| dc.date.issued | 2007 | en |
| dc.description.abstract | We present a computational Bayesian approach for Wiener diffusion models, which are prominent accounts of response time distributions in decision-making. We first develop a general closed-form analytic approximation to the response time distributions for one-dimensional diffusion processes, and derive the required Wiener diffusion as a special case. We use this result to undertake Bayesian modeling of benchmark data, using posterior sampling to draw inferences about the interesting psychological parameters. With the aid of the benchmark data, we show the Bayesian account has several advantages, including dealing naturally with the parameter variation needed to account for some key features of the data, and providing quantitative measures to guide decisions about model construction. | en |
| dc.description.statementofresponsibility | Michael D. Lee, Ian G. Fuss, Danieal J. Navarro | en |
| dc.description.uri | http://nips.cc/Conferences/2006/ | en |
| dc.identifier.citation | Advances in Neural Information Processing Systems 19: Proceedings of the 2006 Conference / B. Schölkopf, J. Platt, T. Hofmann (eds.): pp. 809-816 | en |
| dc.identifier.isbn | 9780262195683 | en |
| dc.identifier.issn | 1049-5258 | en |
| dc.identifier.orcid | Navarro, D. [0000-0001-7648-6578] | en |
| dc.identifier.uri | http://hdl.handle.net/2440/68612 | |
| dc.language.iso | en | en |
| dc.publisher | MIT Press | en |
| dc.publisher.place | Cambridge, Mass. | en |
| dc.relation.isreplacedby | 2440/90745 | |
| dc.relation.isreplacedby | http://hdl.handle.net/2440/90745 | |
| dc.rights | © 2007 Massachusetts Institute of Technology | en |
| dc.source.uri | http://papers.nips.cc/paper/3036-a-bayesian-approach-to-diffusion-models-of-decision-making-and-response-time | en |
| dc.title | A Bayesian approach to diffusion models of decision-making and response time | en |
| dc.type | Conference paper | en |
| pubs.publication-status | Published | en |
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