BIOSTAT 276Inferential Techniques that Use Simulation
Biostatistics · 4 units · Graduate courses (200-299)
Recommended: course 213. Theory and application of recently developed techniques for statistical inference that use computer simulation. Topics include bootstrap, multiple imputation, data augmentation, stochastic relaxation, and sampling/importance resampling algorithm.
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
Requisites: Statistics 200A, 200B.
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.
BIOSTAT 276
- STATS 200AApplied Probability
- MATH 170AProbability Theory I
- STATS 100AIntroduction to Probability
- STATS 200BTheoretical Statistics
2 direct requisites. Showing 9 courses over 3 levels; the branches marked with a count carry on past it. 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.