Bayesian Inference for Probabilistic Risk Assessment A Practitioner's Guidebook

Name: Bayesian Inference for Probabilistic Risk Assessment A Practitioner's Guidebook
Availability: OutOfStock
ISBN: 9781849961875

ISBN-10: 1849961875

ISBN-13: 9781849961875

Edition: 2011

Authors: Dana Kelly, Curtis Smith

List price: $179.00

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Description:

Bayesian Inference for Probabilistic Risk Assessment provides a Bayesian foundation for framing probabilistic problems and performing inference on these problems. Inference in the book employs a modern computational approach known as Markov chain Monte Carlo (MCMC). The MCMC approach may be implemented using custom-written routines or existing general purpose commercial or open-source software. This book uses an open-source program called OpenBUGS (commonly referred to as WinBUGS) to solve the inference problems that are described. A powerful feature of OpenBUGS is its automatic selection of an appropriate MCMC sampling scheme for a given problem. The authors provide analysis building…

Book details

List price: $179.00
Copyright year: 2011
Publisher: Springer London, Limited
Publication date: 8/30/2011
Binding: E-Book
Pages: 228
Language: English

Dana Kelly and Curtis Smith are both specialists in Bayesian inference for risk and reliability analysis, working at the Idaho National Laboratory, USA. They provide support to the Nuclear Regulatory Commission, NASA, the Joint Research Centre in Pettern, and others. They are the authors of numerous refereed publications in the field.