BIOSTAT 276
Inferential 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.
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.