Chapter 9
Graphical Models
DOI: 10.1201/9781003158745-9
Graphical modeling is a convenient theory for encoding the conditional dependencies between p random variables X1,...,Xp by a graph g. Graphical models are used in many different frameworks (image analysis, physics, economics, etc.), and they have been proposed for investigating biological regulation networks, brain connections, etc.
The concept of conditional dependence is more suited than the concept of dependence in order to catch “direct links” between variables, as explained in Figure 9.1 below.
Get Introduction to High-Dimensional Statistics, 2nd Edition now with the O’Reilly learning platform.
O’Reilly members experience books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers.