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language: english
Publisher: CAMBRIDGE UNIVERSITY PRESS, February of 2019 ‧
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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.

Computational Bayesian Statistics

An Introduction

by Peter (University Of Texas, Austin) Muller, Carlos Daniel (Universidade De Lisboa) Paulino e M. Antonia (Universidade De Lisboa) Amaral Turkman

Property Description
ISBN: 9781108481038
Publisher: CAMBRIDGE UNIVERSITY PRESS
Release Date: February of 2019
Language: English
Dimensions: 157 x 232 x 16 mm
Cover: Hardcover
Pages: 254
Format: Book
Collection: Institute Of Mathematical Statistics Textbooks
Categories: Books in English > Management > Management and Organization
Books in English > Others
EAN: 9781108481038

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