Probabilistic Graphical Models: Fundamentals

Felix Laumann
Jun 1, 2018 · 5 min read

A probabilistic graphical model is a representation of conditional independent relationships between the nodes.

Basic PGM with three random variables

So, why do we do all that?

Example

Discrete models

Continuous models

Felix Laumann

Written by

helping you with the first steps into Bayesian deep learning | PhD Student at Imperial College London | Research Scientist at NeuralSpace

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