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Bayesian Inference for Stochastic Processes|Lyle D. Broemeling

Bayesian Inference for Stochastic Processes

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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

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Details

  • ISBN-13: 9780367572433
  • ISBN-10: 0367572435
  • Publisher: CRC Press
  • Publish Date: June 2020
  • Dimensions: 10 x 6.9 x 0.9 inches
  • Shipping Weight: 1.72 pounds
  • Page Count: 432

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