STAT 983
Prereqs: STAT 823, STAT 883.
Model selection including sparsity methods and their oracle properties, information methods, cross-validation and stochastic search. Basic theory of kernel methods for regression.  Classification: linear and quadratic discriminants, Bayes classifier, nearest neighbor methods, kernel methods for classification. Introduction to neural networks and recursive partitioning. Model averaging methods and measures of complexity. Cluster analysis.
Credit Hours: 3
Course Format: Lecture 3
Course Delivery: Classroom