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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:
  • 9783319327884
  • Binding:
  • Hardback
  • Pages:
  • 327
  • Published:
  • August 9, 2016
  • Edition:
  • 22016
  • Dimensions:
  • 155x235x21 mm.
  • Weight:
  • 6447 g.
Delivery: 2-3 weeks
Expected delivery: July 15, 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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