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Computational Bayesian Statistics

By: M. Antonia (Universidade de Lisboa) Amaral Turkman (Author) , Carlos Daniel (Universidade de Lisboa) Paulino (Author) , Austin) Muller Peter (University of Texas (Author)

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Ksh 20,400.00

Format: Hardback or Cased Book

ISBN-13: 9781108481038

Publisher: Cambridge University Press

Publication Date: Feb 28th, 2019

Weight: 480 grams

Dimension: 23.50 x 15.60 x 1.70 cms

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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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