About this document
Introduction to Probabilistic Graphical Models by Yen-Kai Cheng is a document available to read on EtoBox.
The document provides an overview of a lecture on probabilistic graphical models. It introduces directed acyclic graphs and Bayesian networks, and discusses their characteristics such as representing conditional independence via a graph structure. Examples of using Bayesian networks for causal representation and reducing disease risk are also presented.
- Author
- Yen-Kai Cheng
- Language
- EN