Use of exponential power distributions for mixture models in the presence of covariates
In this paper, we present a Bayesian analysis of exponential power mixture models in the presence of a covariate. Considering Gibbs sampling with MetropolisHastings algorithms, we obtain Monte Carlo estimates for the posterior quantities of interest.
Year of publication: |
1999
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Authors: | Achcar, Jorge Alberto ; Pereira, Gilberto De AraUJo |
Published in: |
Journal of Applied Statistics. - Taylor & Francis Journals, ISSN 0266-4763. - Vol. 26.1999, 6, p. 669-679
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Publisher: |
Taylor & Francis Journals |
Saved in:
Saved in favorites
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