BIOMATH M234

Applied Bayesian Inference

Biomathematics · 4 units · Graduate courses (200-299)

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(Same as Biostatistics M234.) Bayesian approach to statistical inference, with emphasis on biomedical applications and concepts rather than mathematical theory. Topics include large sample Bayes inference from likelihoods, noninformative and conjugate priors, empirical Bayes, Bayesian approaches to linear and nonlinear regression, model selection, Bayesian hypothesis testing, and numerical methods.

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.

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Requisites

Official UCLA wording
Requisite: Biostatistics 200B or another substantial regression course.

BruinTree reads · Prerequisite

needs reviewconfidence 0.70 · from text

one of

BIOSTAT 200B
another substantial regression course

· could not read "another substantial regression course" (no course number found)

Requires

Everything that has to come before this course, not just the courses named in the requisite above.

BIOMATH M234

BIOSTAT 200BMethods in Biostatistics B
- BIOSTAT 200AMethods in Biostatistics A

1 direct requisite. The whole upstream is here — 2 courses over 2 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.