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Bag om Patterns of Scalable Bayesian Inference

Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. This book examines how these techniques can be scaled up to larger problems and scaled out across parallel computational resources, and reviews existing work on utilizing computing resources with both MCMC and variational approximation techniques.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9781680832181
  • Indbinding:
  • Paperback
  • Sideantal:
  • 148
  • Udgivet:
  • 17. November 2016
  • Størrelse:
  • 234x156x8 mm.
  • Vægt:
  • 219 g.
  • 8-11 hverdage.
  • 4. Oktober 2024

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Identifies unifying principles, patterns, and intuitions for scaling Bayesian inference. This book examines how these techniques can be scaled up to larger problems and scaled out across parallel computational resources, and reviews existing work on utilizing computing resources with both MCMC and variational approximation techniques.

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