STATS 427

Applied Bayesian Statistics

Statistics · 4 units · Graduate professional courses (400-499)

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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.

Requisites

Official UCLA wording
Requisite: course 400. Recommended requisites: courses 401, 402, 403, 404, 405.

BruinTree reads · Prerequisite

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STATS 400

BruinTree reads · Recommended

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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 405

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.