STAT 2641 - ASYMPTOTIC METHODS IN STATISTICS
Minimum Credits: 3
Maximum Credits: 3
A careful study of some standard asymptotic techniques in statistics and their modern refinements. Topics include stochastic convergence, delta method, M-estimators, contiguity, local asymptotic normality, concepts of efficiency, projection and U-statistics, likelihood ratio tests, bootstrap, Bayes procedures along with some empirical process methods.
Academic Career: Graduate
Course Component: Lecture
Grade Component: Grad LG/SNC Basis
Click here for class schedule information.
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