BMS 6640 - Computational Statistics

Credit Hour(s): 3

Course 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.

Enrollment Restrictions: Must be enrolled in one of the following levels: Graduate, Medical, Professional. Must be enrolled in one of the following programs: Biomedical Sciences - PHD.

Course Level: Graduate
Schedule Type(s): Lecture

Grade Mode: Standard