DEPARTMENT OF STATISTICAL SCIENCE

DUKE UNIVERSITY




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Statistics 521
Predictive Modeling and Statistical Learning

Professor David Banks

 

The course introduces students to concepts and techniques of classical and Bayesian statistics for modern regression and prediction. We shall cover a blend of theory and applicationusing a range of examples. Topics include exploratory analysis and visualization, linear and generalized linear models, model selection, penalized estimation and shrinkage methods including the Lasso, ridge regression, and ensemble methods.