STATS 427 · STAT 427Applied Bayesian Statistics
Statistics · 4 units · Graduate professional courses (400-499)
Limited to Master of Applied Statistics and Data Science students. Fundamental concepts of Bayesian statistical thinking. Bayesian decision theory. The theory and application of Bayesian statistical ideas to modern statistical models. Bayesian data analysis, model comparison, and assessment of goodness-of-fit. Using Stan for Bayesian inference for arbitrary user-specified models.
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 400. Recommended requisites: courses 401, 402, 403, 404, 405.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 427
- STATS 400Introduction to Probability Modeling
- STATS 401Survey of Methods in Modern Statistics
- STATS 402Applied Regression
- STATS 403Mathematical Statistics
- STATS 404Statistical Computing and Programming
- STATS 405Data Management
6 direct requisites. The whole upstream is here — 6 courses over 1 level. 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.