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.
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Nagarajan, R., Scutari, M., Lèbre, S. (2013). Introduction. In: Bayesian Networks in R. Use R!, vol 48. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6446-4_1
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DOI: https://doi.org/10.1007/978-1-4614-6446-4_1
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