PSTAT 232 - Computational Techniques in Statistics

Explores computationally-intensive methods in statistics. Topics covered include Fundamentals of Optimization, Combinatorial Optimization, EM algorithm, Monte Carlo simulation, Markov Chain Monte Carlo methods. Lab work is carried out using R or Python.

Prerequisites: PSTAT 120A-B-C, PSTAT 126 or equivalent. Knowledge of at least one programming language.

PSTAT 232

0 / 30 Enrolled

Computational Techniques in Statistics

Guo Yu 2.8

T R

12:30 PM - 13:45 PM

78.7% A