BIOSTAT 270Stochastic Processes
Biostatistics · 4 units · Graduate courses (200-299)
Overview of common stochastic process models arising in biostatistical applications. Topics include discrete and continuous time martingales, discrete and continuous time Markov chains, renewal processes and diffusion processes.
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: course 202B or Mathematics 170B; Mathematics 131A. Recommended requisite: course 255A.
BruinTree reads · Prerequisite
confidence 1.00 · from textBruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
BIOSTAT 270
- BIOSTAT 202BMathematical Statistics B
- BIOSTAT 202AMathematical Statistics A
- BIOSTAT 255AAdvanced Probability and Statistics
- MATH 131AAnalysis
- MATH 170BProbability Theory II
- MATH 170AProbability Theory I
4 direct requisites. Showing 17 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.