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Bayesian Inference for Stochastic Processes

By: USA.) Broemeling Lyle D. (Broemeling and Associates Inc. (Author)

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Ksh 34,800.00

Format: Hardback or Cased Book

ISBN-13: 9781138196131

Publisher: Taylor & Francis Ltd

Publication Date: Dec 15th, 2017

Weight: 952 grams

Dimension: 18.50 x 26.00 x 2.90 cms

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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.

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