PSYCH 254CBayesian Statistics
Psychology · 4 units · Graduate courses (200-299)
Introduction to Bayesian inferences, effective approaches to Bayesian modeling and computation, and Bayesian methods that can be used by applied researchers to solve real-life problems. Covers basic Bayesian inference.
S/U or letter grading.
When it runs
Not on the schedule for any of Fall 2025 through Spring 2027. UCLA publishes only that window, so this does not mean the course is gone — check the official listing.
Requisites
Official UCLA wording
Requisite: course 256A.
BruinTree reads · Prerequisite
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
PSYCH 254C
- PSYCH 256AIntroduction to Multilevel Modeling
- PSYCH 250CAdvanced Psychological Statistics
- PSYCH 250AAdvanced Psychological Statistics
1 direct requisite. The whole upstream is here — 3 courses over 3 levels. 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.