Graphical Modelling (GM)

Marcel van Oijen ()

Chapter Chapter 15 in Bayesian Compendium, 2020, pp 107-120 from Springer

Abstract: Abstract A graphical model (GM)Graphical Model (GM), also called a probabilistic networkProbabilistic network, is a representation of a joint probability distribution. A GM has two parts: (1) a graph with nodes connected by edges, (2) information about the nodes. So the graph is just the visible part of the model. GMs do not represent a new kind of statistical model, they are just helpful tools for analysing joint probability distributions. Every distribution can be represented by a GM, so whatever your research problem or modelling method is, you can choose to use a GM to organize your thinking.

Date: 2020
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DOI: 10.1007/978-3-030-55897-0_15

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