Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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STT 865 Modern Statistical Methods

Description:
Modern statistical methods. Applicability and computer implementation. Resampling methods, including the bootstrap. Markov chain Monte Carlo. Survival analysis. Nonparametric curve estimation.
Effective Dates:
SS00 - SS05

STT 865 Modern Statistical Methods

Semester:
Spring of even years
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
STT 863
Description:
Modern statistical methods. Applicability and computer implementation. Resampling methods, including the bootstrap. Markov chain Monte Carlo methods. Survival analysis. Nonparametric curve estimation.
Effective Dates:
US05 - SS12

STT 865 Advanced Statistical Methods

Semester:
Fall of every year
Credits:
Total Credits: Credits: 3   Lecture/Recitation/Discussion Hours:3
Recommended Background:
STT 864
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.
Effective Dates:
US12 - FS13