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Bayesian Inference for Stochastic Processes

af Lyle D. Broemeling
Bayesian Inference for Stochastic Processes af Lyle D. Broemeling
Bag om Bayesian Inference for Stochastic Processes

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9780367572433
  • Indbinding:
  • Paperback
  • Sideantal:
  • 432
  • Udgivet:
  • 30. juni 2020
  • Størrelse:
  • 178x254x0 mm.
  • Vægt:
  • 453 g.
  • 2-4 uger.
  • 18. december 2024
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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 a

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