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Erschienen in:
2013 | OriginalPaper | Buchkapitel
1. Introduction
verfasst von : Radhakrishnan Nagarajan, Marco Scutari, Sophie Lèbre
Erschienen in: Bayesian Networks in R
Verlag: Springer New York
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Abstract
Bayesian networks and their applications to real-world problems lie at the intersection of several fields such as probability and graph theory. In this chapter a brief introduction to the terminology and the basic properties of graphs, with particular attention to directed graphs, is provided. As with other Use R!-series books, a brief introduction to the
R environment and basic R programming is also provided. Some background in probability theory and programming is assumed. However, the necessary references are included under the respective sections for a more complete treatment.