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Bayesian Networks
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Bayesian Networks

DOI link for Bayesian Networks

Bayesian Networks book

With Examples in R

Bayesian Networks

DOI link for Bayesian Networks

Bayesian Networks book

With Examples in R
ByMarco Scutari, Jean-Baptiste Denis
Edition 1st Edition
First Published 2014
eBook Published 20 June 2014
Pub. location New York
Imprint Chapman and Hall/CRC
DOI https://doi.org/10.1201/b17065
Pages 241 pages
eBook ISBN 9780429196249
SubjectsBioscience, Engineering & Technology, Mathematics & Statistics
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Scutari, M., Denis, J.B. (2015). Bayesian Networks. New York: Chapman and Hall/CRC, https://doi.org/10.1201/b17065

Understand the Foundations of Bayesian Networks-Core Properties and Definitions Explained Bayesian Networks: With Examples in R introduces Bayesian networks using a hands-on approach. Simple yet meaningful examples in R illustrate each step of the modeling process. The examples start from the simplest notions and gradually increase in complexity. T

TABLE OF CONTENTS

chapter 1|36 pages

The Discrete Case: Multinomial Bayesian Networks

chapter 2|28 pages

The Continuous Case: Gaussian Bayesian Networks

chapter 3|20 pages

More Complex Cases: Hybrid Bayesian Networks

chapter 4|40 pages

Theory and Algorithms for Bayesian Networks

chapter 5|14 pages

Software for Bayesian Networks

chapter 6|34 pages

Real-World Applications of Bayesian Networks

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