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Bayesian Inference for Stochastic Processes

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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  • Språk:
  • Engelska
  • ISBN:
  • 9780367572433
  • Format:
  • Häftad
  • Sidor:
  • 432
  • Utgiven:
  • 30. juni 2020
  • Mått:
  • 178x254x0 mm.
  • Vikt:
  • 453 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 18. december 2024

Beskrivning av 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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