STAT 6382 Statistical Computing

This is a course in modern computationally-intensive statistical methods including simulation, optimization methods, Monte Carlo integration, maximum likelihood/EM parameter estimation, Markov chain Monte Carlo methods, resampling methods, and non-parametric density estimation. 

Credits

3

Prerequisite

Consent of instructor.

Schedule Type

Lecture

Grading Basis

Standard Letter (A-F)

Administrative Unit

School of Mathematical & Stat

Offered

As scheduled