Instructor: Merlise Clyde
Office: | |
Phone: | 681-8440 |
Email: | clyde@stat.duke.edu |
Office Hours: | Tuesday &Thursday10:30-11:30, or by appointment |
Meeting Times: Tuesday & Thursday 9:10-10:25 025 Old Chemistry Building
Texts: |
Applied Linear Regression, 2nd Edition by Sandford. Weisberg, 1985, John Wiley & Sons |
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S-Plus 2000 / S-Plus 5.1 |
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MRC Biostatistics Unit,Cambridge UK |
This courses covers concepts of linear models from Bayesian and classical viewpoints. Topics include: Exploratory data analysis techniques, simple linear and multiple regression, ANOVA,variable transformations and selection, parameter estimation and interpretation, prediction, model diagnostics, Bayesian hierarchical models, Bayes factors and model selection, and Bayesian model averaging. Topics in Markov chain Monte Carlo simulation introduced as required. Prerequisite: Statistics 213 or equivalent.