Titlebook: Bayesian Networks and Decision Graphs; Finn V. Jensen,Thomas D. Nielsen Textbook 2007Latest edition Springer-Verlag New York 2007 Analysis

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Parameter estimationes. On the other hand, you have access to a database of cases, i.e., a set of simultaneous values for some of the variables in .. You can now use these cases to estimate the parameters of the model, namely the conditional probabilities. In this chapter we consider two approaches for handling this pr

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Building Modelsools that can do the calculation job for us are available. In the rest of this book, we assume that the reader has access to such a system (some URLs are given in the Preface). Therefore, we can start by concentrating on how to use Bayesian networks in model building and defer a presentation of methods for probability updating to Chapter 4.

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Belief Updating in Bayesian Networks with the number of variables, we look for more efficient methods. Unfortunately, no method guarantees a tractable calculation task. However, the method presented here represents a substantial improvement, and it is among the most efficient methods known.