Bayesian computations in survival models via the Gibbs sampler - Info and Reading Options
By Lynn Kuo
"Bayesian computations in survival models via the Gibbs sampler" was published by Naval Postgraduate School in 1991 - Monterey, Calif and the language of the book is English.
“Bayesian computations in survival models via the Gibbs sampler” Metadata:
- Title: ➤ Bayesian computations in survival models via the Gibbs sampler
- Author: Lynn Kuo
- Language: English
- Publisher: Naval Postgraduate School
- Publish Date: 1991
- Publish Location: Monterey, Calif
“Bayesian computations in survival models via the Gibbs sampler” Subjects and Themes:
- Subjects: Statistical theory - Bayes theorem - Statistical samples
Edition Specifications:
- Pagination: 1 v. (various pagings) :
Edition Identifiers:
- The Open Library ID: OL25510563M - OL16889322W
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"Bayesian computations in survival models via the Gibbs sampler" Description:
The Open Library:
Survival models used in biomedical and reliability contexts typically involve data censoring, and may also involve constraints in the form of ordered parameters. In addition, inferential interest often focuses on non-linear functions of natural model parameters. From a Bayesian statistical analysis perspective, these features combine to create difficult computational problems by seeming to require (multi-dimensional) numerical integrals over awkwardly defined regions. This paper illustrates how these apparent difficulties can be overcome, in both parametric and non-parametric settings, by the Gibbs sampler approach to Bayesian computation.
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