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The Discrete Case: Multinomial Bayesian Networks
In this chapter we will introduce the fundamental ideas behind Bayesian networks (BNs) and their interpretation using a hypothetical survey on the usage of different means of transport. We will focus on modelling discrete data, leaving continuous data to Chapter 2 and more complex data types to Chapters 3 and 5.
1.1 Introductory Example: Train-Use Survey
Consider a simple, hypothetical survey whose aim is to investigate the usage patterns of different means of transport, with a focus on cars and trains. Such surveys are used to assess customer satisfaction across different social groups, to evaluate public policies and to improve urban planning. Some real-world examples can be found, for ...
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