STATS 212 · STAT 212Graphical Models
Statistics · 4 units · Graduate courses (200-299)
Introduction to graphical models with applications in statistical modeling, machine learning, and causal inference. Common graphical models, such as undirected graphs, directed acyclic graphs, and ancestral graphs, for modeling conditional independence and causality. Methods and theory for structure learning of graphical models from observational and experimental data.
S/U or letter grading.
When it runs
- Winter 2026
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Recommended requisite: course 200A.
BruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 212
- STATS 200AApplied Probability
- STATS 100AIntroduction to Probability
- MATH 170AProbability Theory I
1 direct requisite. Showing 8 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.