STATS 202B
Matrix Algebra and Optimization
Statistics · 4 units · Graduate courses (200-299)
Survey of computational methods that are especially useful for statistical analysis, with implementations in statistical package R. Topics include matrix analysis, multivariate regression, principal component analysis, multivariate analysis, and deterministic optimization methods.
S/U or letter grading.
Requisites
Official UCLA wording
Recommended requisite: course 202A.
BruinTree reads · Recommended
confidence 1.00 · from textRequires
Everything that has to come before this course, not just the courses named in the requisite above.
STATS 202B
- STATS 202AStatistics Programming
1 direct requisite. The whole upstream is here — 1 course over 1 level. Every course here opens its own tree.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
STATS 202B
- STATS 202CMonte Carlo Methods for Optimization
- COM SCI M262CCurrent Topics in Causal Modeling, Inference, and Reasoning
2 courses list this as a requisite. The whole downstream is here — 2 courses over 1 level. Every course here opens its own tree.