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Please use this identifier to cite or link to this item:
http://hdl.handle.net/11154/2206
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| Title: | A nonparametric dependent process for Bayesian regression |
| Authors: | Mena, RH
Walker, SG
Fuentes-García, R |
| Issue Date: | 2009 |
| Abstract: | This article investigates the problem of Bayesian nonparametric regression. The proposed model is based on a recently introduced random distribution function, which is based on a decreasing set of weights. The approach is surprisingly of a much simpler form than alternative models described in the literature. A Gibbs sampler algorithm is provided for posterior analysis. (C) 2009 Elsevier B.V. All rights reserved. |
| URI: | http://hdl.handle.net/11154/2206 |
| ISSN: | 0167-7152 |
| Appears in Collections: | Ciencias
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