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Prior Processes and Their Applications

- Nonparametric Bayesian Estimation

About 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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  • Language:
  • English
  • ISBN:
  • 9783319813707
  • Binding:
  • Paperback
  • Pages:
  • 327
  • Published:
  • April 21, 2018
  • Edition:
  • 22016
  • Dimensions:
  • 155x235x0 mm.
  • Weight:
  • 534 g.
Delivery: 1-2 weeks
Expected delivery: December 7, 2024

Description of 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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