Advanced Statistical Inference

Catalog description

This course provides an advanced and in-depth view of statistical inference. Topics in estimation include unbiased estimation and variance bounds, curved exponential families, large sample theory for estimation, estimating equations and maximum likelihood estimation, Bayesian estimation; and topics in hypothesis testing include invariance, minimax principle, large sample theory and optimality, multiple testing and simultaneous inference. Prerequisite(s): STAT 7620 >= C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: Normal, Audit Program Restrictions: DPHIL_BIOS, MS_BIOS Schedule Type (Primary): Lecture Click here for the Schedule of Classes.