Instructor: |
Merlise Clyde |
---|---|
Email: |
clyde@stat.duke.edu |
Office: |
223E Old Chemistry Building |
Office Hours: |
Mon 11-12 or by appointment |
Teaching Assistant |
Debdeep Pati |
---|---|
Email: |
db55@stat.duke.edu |
Office Hours: |
211A Old Chem, see SECC Schedule for times |
Lecture: M W 2:50 -4:05 SocSci 111
Lab: Tu: 1:15-2:30 Old Chem 01
Course Description: Principles of data analysis and advanced
statistical modeling. Bayesian inference, prior and posterior distributions, hierarchical models, model checking and selection, missing data, stochastic simulation
by Markov Chain Monte Carlo using WinBugs and R.
Prerequisites: Statistics 104, Statistics 114, and Statistics 121/Economics 139D or the equivalent.
Texts:
Grading: Course Grades will be based on a Class Project & Presentation.(30%), Midterm (30%) and Homework (40%). Students are expected to participate in class discussions based on readings and assignments.