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