STAT 244Bayesian Decision Theory
Explores conceptual and theoretical bases of statistical decision making under uncertainty. Focuses on axiomatic foundations of expected utility, elicitation of subjective probabilities and utilities, and the value of information and modern computational methods for decision problems. (Formerly AMS 221.)
Prerequisite(s): STAT 203 or equivalent; and STAT 206 or STAT 206B; or permission of the instructor. Enrollment is restricted to graduate students.
Find a section and add it to your scheduleLive seat counts, time-conflict checks and the walk from your previous class.
When it runs
Fall 2025Open Fall 2025
| Section | Type | When | Where | Instructor | Seats |
|---|---|---|---|---|---|
| 01 | Lecture | Tue Thu 1:30pm–3:05pm | Crown Clrm 105 | B. Sanso | Open 8/10 |
Who teaches it
| Instructor | Rating | Difficulty | Would take again | Reviews |
|---|---|---|---|---|
| Bruno Sanso | 2.2 / 5 | 3.4 / 5 | 27% | 52 |
From RateMyProfessors, which is student-submitted and not a survey. Small review counts move a long way on one bad quarter.
SlugAtlas is a student project and is not affiliated with, endorsed by, or operated by UC Santa Cruz. Course data is a snapshot of the public class search; myUCSC is authoritative for enrolment.