Statistical Inference Model

3 Credits · Level: Graduate, Undergraduate

Prerequisite: MATH 5051 . This is a MS level course.This course provides a rigorous introduction to the theory and applications of statistical inference. Topics to be covered include methods of estimation (optimization, EM algorithm, and MCMC), properties of point estimators, interval estimators, and likelihood-based tests (score, Wald, and LRT). The course will also explore application of these concepts in various statistical models.