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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:
  • Engelsk
  • ISBN:
  • 9780367572433
  • Bindende:
  • Paperback
  • Sider:
  • 432
  • Utgitt:
  • 30. juni 2020
  • Dimensjoner:
  • 178x254x0 mm.
  • Vekt:
  • 453 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 7. desember 2024

Beskrivelse 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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