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This is the preliminary program for the 2009 Joint Statistical
Meetings in Washington, DC.
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The views expressed here are those of the individual authors and not necessarily those of the ASA or its board, officers, or staff. Back to main JSM 2009 Program page |
= Applied Session,
= Theme Session,
= Presenter| CE_27C | Tue, 8/4/09, 8:30 AM - 5:00 PM | RH-Meeting Rooms 10 & 11 |
| Applied Bayesian Nonparametric Mixture Modeling - Continuing Education - Course | ||
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ASA, Section on Bayesian Statistical Science |
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| Instructor(s): Athanasios Kottas, University of California, Santa Cruz, Abel Rodriguez, University of California, Santa Cruz | ||
| Bayesian methods are central to the application of modern statistical modeling in a variety of fields. Bayesian nonparametric and semiparametric methods are receiving increased attention in the literature as they considerably expand the flexibility of Bayesian models. This course will provide an introduction to Bayesian nonparametric methods, with emphasis on modeling approaches employing nonparametric mixtures and with a focus on applications. The course will start by motivating Bayesian nonparametric modeling and providing an overview of nonparametric prior models for spaces of random functions. The focus will be on models based on the Dirichlet process, a nonparametric prior for distribution functions. Particular emphasis will be placed on Dirichlet process mixtures, which provide a flexible framework for nonparametric modeling. We will discuss methodological details, computational techniques for posterior inference, recent extensions to modeling for dependent distributions, and applications of Dirichlet process mixture models. Examples will be drawn from density estimation, nonparametric regression, hierarchical generalized linear models, survival analysis, and spatial statistics. This course targets students or professionals with a background in Bayesian modeling and inference. Sufficient preparation will include statistics training to the MS level and exposure to Bayesian hierarchical modeling and computation. | ||
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JSM 2009
For information, contact jsm@amstat.org
or phone (888) 231-3473. If you have questions about the Continuing Education program,
please contact the Education Department. |