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Prior Processes and Their Applications

- Nonparametric Bayesian Estimation

af Eswar G. Phadia

indgår i Springer Series in Statistics serien

Prior Processes and Their Applications af Eswar G. Phadia
Bag 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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783319327884
  • Indbinding:
  • Hardback
  • Sideantal:
  • 327
  • Udgivet:
  • 9. august 2016
  • Udgave:
  • 22016
  • Størrelse:
  • 155x235x21 mm.
  • Vægt:
  • 6447 g.
  • 8-11 hverdage.
  • 28. november 2024
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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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