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Bayesian Inference for Stochastic Processes

Bayesian Inference for Stochastic Processes - Paperback

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Product Details
Author:
Lyle D. Broemeling
Publisher:
CRC Press
Publication Date:
Jun 30, 2020
Number of pages:
432 pages
Binding:
Paperback or Softback
ISBN-10:
0367572435
ISBN-13:
9780367572433

Overview

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 a


  • | Author: Lyle D. Broemeling
  • | Publisher: CRC Press
  • | Publication Date: Jun 30, 2020
  • | Number of Pages: 432 pages
  • | Binding: Paperback or Softback
  • | ISBN-10: 0367572435
  • | ISBN-13: 9780367572433

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