Bayesian Networks in R with Applications in Systems Biology /

• Main Authors: Nagarajan, Radhakrishnan (Author), Scutari, Marco (Author), Lèbre, Sophie (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Use R! ; 48
• Subjects: Statistics.; Programming languages (Electronic computers).; Statistics and Computing/Statistics Programs.; Statistical Theory and Methods.; Programming Languages, Compilers, Interpreters.

Bayesian Networks in R with Applications in Systems Biology introduces the reader to the essential concepts in Bayesian network modeling and inference in conjunction with examples in the open-source statistical environment R. The level of sophistication is gradually increased across the chapters wit...

Table of Contents:

• Introduction
• Bayesian Networks in the Absence of Temporal Information
• Bayesian Networds in the Presence of Temporal Information
• Bayesian Network Inference Algorithms
• Parallel Computing for Bayesian Networks
• Solutions
• Index
• References.