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2015-2016 University Catalog
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STAT 751 - Computational StatisticsCredits: 3
Not Repeatable
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.
Equivalent to CSI 771.
Prerequisite(s): STAT 652 or permission of instructor. Prerequisite enforced by registration system.
Hours of Lecture or Seminar per week: 3
Hours of Lab or Studio per week: 0
When Offered: Alternate Fall
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