Computational Statistics

Course Type: 
STT
Code: 
6640
Level: 
Graduate
Credit Hours: 
3
Schedule Type: 
Lecture
Description: 

Random number generation and Monte Carlo methods. The bootstrap and permutation tests. Numerical methods for optimization related to maximum likelihood estimation. Nonparametric density estimation. Monte Carlo Markov Chain (MCMC) methods. Classification and regression trees. Software used for the course includes SPLUS or R. Department Managed Prerequisite(s): Graduate level STT 5610 Minimum Grade of D

Restrictions: 
Must be enrolled in one of the following Levels: Graduate, Medical, Professional.