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Prior Processes and Their Applications

- Nonparametric Bayesian Estimation

Om Prior Processes and Their Applications

After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process.

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  • Språk:
  • Engelska
  • ISBN:
  • 9783319327884
  • Format:
  • Inbunden
  • Sidor:
  • 327
  • Utgiven:
  • 9. augusti 2016
  • Utgåva:
  • 22016
  • Mått:
  • 155x235x21 mm.
  • Vikt:
  • 6447 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 18. december 2024

Beskrivning av Prior Processes and Their Applications

After an overview of different prior processes, it examines the now pre-eminent Dirichlet process and its variants including hierarchical processes, then addresses new processes such as dependent Dirichlet, local Dirichlet, time-varying and spatial processes, all of which exploit the countable mixture representation of the Dirichlet process.

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