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Bayesian Computations In Survival Models Via The Gibbs Sampler by Lynn Kuo
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1DTIC ADA242343: Bayesian Computations In Survival Models Via The Gibbs Sampler
By Defense Technical Information Center
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.
“DTIC ADA242343: Bayesian Computations In Survival Models Via The Gibbs Sampler” Metadata:
- Title: ➤ DTIC ADA242343: Bayesian Computations In Survival Models Via The Gibbs Sampler
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA242343: Bayesian Computations In Survival Models Via The Gibbs Sampler” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Kuo, Lynn - NAVAL POSTGRADUATE SCHOOL MONTEREY CA DEPT OF OPERATIONS RESEARCH - *FUNCTIONS - MODELS - PARAMETERS - INTEGRALS - SAMPLERS - SURVIVAL(GENERAL) - NONLINEAR SYSTEMS - STATISTICAL ANALYSIS - BAYES THEOREM - COMPUTATIONS - NUMERICAL ANALYSIS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA242343
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The book is available for download in "texts" format, the size of the file-s is: 13.86 Mbs, the file-s for this book were downloaded 45 times, the file-s went public at Sun Mar 04 2018.
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2Bayesian Computations In Survival Models Via The Gibbs Sampler
By Kuo, Lynn.;Smith, Adrian F. M.
Title from cover
“Bayesian Computations In Survival Models Via The Gibbs Sampler” Metadata:
- Title: ➤ Bayesian Computations In Survival Models Via The Gibbs Sampler
- Author: Kuo, Lynn.;Smith, Adrian F. M.
- Language: en_US,eng
Edition Identifiers:
- Internet Archive ID: bayesiancomputat00kuolpdf
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The book is available for download in "texts" format, the size of the file-s is: 21.51 Mbs, the file-s for this book were downloaded 163 times, the file-s went public at Mon Oct 05 2015.
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3Bayesian Computations In Survival Models Via The Gibbs Sampler
By Kuo, Lynn.;Smith, Adrian F. M.
Title from cover
“Bayesian Computations In Survival Models Via The Gibbs Sampler” Metadata:
- Title: ➤ Bayesian Computations In Survival Models Via The Gibbs Sampler
- Author: Kuo, Lynn.;Smith, Adrian F. M.
- Language: en_US
“Bayesian Computations In Survival Models Via The Gibbs Sampler” Subjects and Themes:
- Subjects: STATISTICAL SAMPLES. - STATISTICAL THEORY. - BAYES THEOREM.
Edition Identifiers:
- Internet Archive ID: bayesiancomputat00kuol
Downloads Information:
The book is available for download in "texts" format, the size of the file-s is: 46.10 Mbs, the file-s for this book were downloaded 299 times, the file-s went public at Fri Jan 25 2013.
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Abbyy GZ - Animated GIF - Archive BitTorrent - Cloth Cover Detection Log - DjVu - DjVuTXT - Djvu XML - Dublin Core - Item Tile - MARC - MARC Binary - MARC Source - Metadata - OCR Page Index - OCR Search Text - Page Numbers JSON - Scandata - Single Page Original JP2 Tar - Single Page Processed JP2 ZIP - Text PDF - chOCR - hOCR -
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Source: The Open Library
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1Bayesian computations in survival models via the Gibbs sampler
By Lynn Kuo

“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 - Available from National Technical Information Service
- Publish Date: 1991
- Publish Location: ➤ Springfield, Va - Monterey, Calif
“Bayesian computations in survival models via the Gibbs sampler” Subjects and Themes:
- Subjects: Statistical theory - Bayes theorem - Statistical samples
Edition Identifiers:
- The Open Library ID: OL25510563M
Access and General Info:
- First Year Published: 1991
- Is Full Text Available: Yes
- Is The Book Public: Yes
- Access Status: Public
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