STATS C180

Introduction to Bayesian Statistics

Statistics · 4 units · Undergraduate upper division (100-199)

Open the requisite map View official UCLA course listing ↗Find on Bruinwalk ↗

Designed for juniors/seniors. Introduction to statistical inference based on use of Bayes theorem, covering foundational aspects, current applications, and computational issues. Topics include Stein paradox, nonparametric Bayes, and statistical learning. Examples of applications vary according to interests of students. Concurrently scheduled with course C236.

P/NP or letter grading.

Requisites

Official UCLA wording
Enforced requisites: course 100B, Mathematics 32B.

BruinTree reads · Prerequisite

confidence 1.00 · from text

all of

Requires

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

STATS C180

STATS 100BIntroduction to Mathematical Statistics
- STATS 100AIntroduction to Probability
  - MATH 32BCalculus of Several Variablesanother path to it
  - MATH 33ALinear Algebra and Applications1 more beneath
- MATH 170AProbability Theory I
  - MATH 32B

2 direct requisites. Showing 15 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.