Bayesian semi-parametric modeling for mixed proportional hazard models with right censoring
This paper presents a Bayesian semi-parametric approach to mixed proportional hazard models. The unobserved heterogeneity and the baseline hazard rate are assumed to be an integrated Dirichlet process and an integrated weighted gamma process, respectively. Bayesian estimators and a numerical algorithm are presented.
Year of publication: |
2006
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Authors: | Lau, John W. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 76.2006, 7, p. 719-728
|
Publisher: |
Elsevier |
Keywords: | Dirichlet process Weighted gamma process Blocked Gibbs sampler Right censoring Hazard function Polya urn |
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