Advanced Statistics I

Catalog description

Prerequisites: Statistical Models and Methods II, Statistical Inference II This course covers both the theoretical framework and practical aspects of statistical models. The course will cover likelihood inference, properties of likelihood, exponential families and GLM, large sample properties of likelihood-based inference, likelihood- based regression models, GEE, conditional and marginal likelihood, asymptotics of penalized regression.