Bayesian Inference for Stochastic Processes - Lyle D. Broemeling - Books - Taylor & Francis Ltd - 9781138196131 - December 15, 2017
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Lyle D. Broemeling
Bayesian Inference for Stochastic Processes 1st edition

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The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments. Examples from biology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS.

432 pages, 30 Illustrations, black and white

Media Books     Hardcover Book   (Book with hard spine and cover)
Released December 15, 2017
ISBN13 9781138196131
Publishers Taylor & Francis Ltd
Pages 448
Dimensions 260 × 185 × 29 mm   ·   952 g
Language English  

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