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Computational Bayesian Statistics

- An Introduction

About Computational Bayesian Statistics

This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user's guide for researchers and graduate students from beyond statistics.

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  • Language:
  • English
  • ISBN:
  • 9781108703741
  • Binding:
  • Paperback
  • Pages:
  • 254
  • Published:
  • February 27, 2019
  • Dimensions:
  • 153x227x15 mm.
  • Weight:
  • 372 g.
Delivery: 1-2 weeks
Expected delivery: November 30, 2024

Description of Computational Bayesian Statistics

This book explains the fundamental ideas of Bayesian analysis, with a focus on computational methods such as MCMC and available software such as R/R-INLA, OpenBUGS, JAGS, Stan, and BayesX. It is suitable as a textbook for a first graduate-level course and as a user's guide for researchers and graduate students from beyond statistics.

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