MGMTPHD 201A
Probability, Statistics, and Computational Methods for Econometrics
Management-PhD · 4 units · Graduate courses (200-299)
Designed for PhD students. Introduction to probabilistic, statistical, and computational tools needed for applied researchers in business fields. Probability theory, modes of convergence, hypothesis testing, Bayesian inference, R programming, linear algebra, numerical optimization, simulation methods, numerical integration.
S/U or letter grading.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
What this course is a requisite for, and what those courses lead to in turn.
MGMTPHD 201A
- MGMTPHD 201BTheory and Application of Regression Analysis
- MGMTPHD 201CTime-Series Analysis
1 course lists this as a requisite. The whole downstream is here — 2 courses over 2 levels. Every course here opens its own tree.