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.
Topics
- Fundamentals of Optimization
- Combinatorial Optimization
- EM algorithm
- Monte Carlo simulation
- Markov Chain Monte Carlo methods
Topics explicitly listed in official catalogue description
Sources
- Course catalogue ↗2026-2027