STAT 751: Computational Statistics
Course Information from University Catalog
Covers basic computationally intensive statistical methods and related methods, which would not be feasible without modern computational resources. Covers nonparametric density estimation including kernel methods, orthogonal series methods and multivariate methods, recursive methods, cross validation, nonparametric regression, penalized smoothing splines, the jackknife and bootstrapping, computational aspects of exploratory methods including the grand tour, projection pursuit, alternating conditional expectations, and inverse regression methods.
When Offered: Alternate Fall
Hours of Lecture or Seminar per week: 3
Equivalent to CSI 771.
STAT 652 or permission of instructor.