A self-contained introduction to the theory and applications of Bayesian Networks
Bayesian networks are a topic of interest and importance for statisticians, computer scientists and those involved in modelling and the learning of complex data sets. The material included in this introductory guide has been extensively tested in classroom teaching and assumes a basic knowledge of probability and statistics course and basic mathematics. All notions are explained carefully with an extensive set of exercises throughout the book as well as computer exercises. A solutions manual is also provided online.
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