STATS 200B · STAT 200BTheoretical Statistics
Statistics · 4 units · Graduate courses (200-299)
Sufficiency, exponential families, least squares, maximum likelihood estimation, Bayesian estimation, Fisher information, Cramér/Rao inequality, Stein’s estimate, empirical Bayes, shrinkage and penalty, confidence intervals. Likelihood ratio test, p-value, false discovery, nonparametrics, semi-parametrics, model selection, dimension reduction.
S/U or letter grading.
When it runs
- Winter 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS 200B
- STATS 201CAdvanced Modeling and Inference
- STATS 203Large Sample Theory, Including Resampling
- BIOSTAT 276Inferential Techniques that Use Simulation
- STATS 210Computer Intensive Methods
- STATS 211Topics in Economics and Machine Learning
- COM SCI M262CCurrent Topics in Causal Modeling, Inference, and Reasoning
- STATS 213Synthetic Data Generation
- STATS C236Introduction to Bayesian Statistics
- BIOSTAT 279Optimal Design Theory and Application
- STATS 240Multivariate Analysis
- STATS C263Generative Data Science
11 courses list this as a requisite. The whole downstream is here — 11 courses over 1 level. Every course here opens its own tree.