STAT 132Classical and Bayesian Inference
Introduction to statistical inference at a calculus-based level: maximum likelihood estimation, sufficient statistics, distributions of estimators, confidence intervals, hypothesis testing, and Bayesian inference. (Formerly AMS 132.)
Prerequisites
Prerequisite(s): STAT 131 or CSE 107.
- Enroll in lecture and associated discussion section.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Winter 2027Open Winter 2027
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Mon Wed Fri 10:40am–11:45am | R Carson Acad 240 | Z. Li | Open 0/75 |
Spring 2026Open Spring 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 9:50am–11:25am | Soc Sci 1 110 | A. Kottas | Open 41/75 |
Winter 2026Open Winter 2026
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 11:40am–1:15pm | R Carson Acad 240 | A. Kottas | Open 32/75 |
Fall 2025Open Fall 2025
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 11:40am–1:15pm | Steven Acad 175 | R. Lund | Open 52/60 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Athanasios Kottas | 2.3 / 5 | 3.0 / 5 | 39% | 37 |
| Robert Lund | 5.0 / 5 | 2.0 / 5 | 50% | 1 |
From RateMyProfessors, which is student-submitted and not a survey. Small review counts move a long way on one bad quarter.
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