STT 865 (Course) - Grade Details

(with breakdown by instructor)

Course Title: Advanced Statistical Methods

Course Description: Laplace approximations. Penalized-quasi-likelihood functions. Expectation-Maximization (E-M) and Monte Carlo EM (MCEM) algorithm for mixed effect models. Markov Chain Monte Carlo methods. Additive Models. Trees and related methods. Bagging, boosting and random forest. Cluster analysis. Introduction to functional data analysis. Integrated nested Laplace approximations for high-dimensional problems.

• James Stapleton

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