Statistics 16:960:563 Regression Analysis
Schedule
The course is normally offered during the Fall, Spring, and Summer semesters.
- Class meeting dates: Please visit the University's academic calendar.
- Schedule and Instructor: Please visit the University's schedule of classes for the instructor, time, and room.
- Instructor and Teaching Assistant Office Hours: Please visit the Mathematical Finance program's office hour schedule.
Pre-requisites
Please contact the instructor.Primary Textbooks
Required : J. Neter et al Applied Linear Regression Models. 4th Edition, Irwin publishing company.Suggested: Montgomery and Peck Introduction to Regression Analysis, Wiley 1992.
Suggested: Box, Hunter and Hunter Statistics for Experimenters, Wiley 1978
Grading
Please contact the instructor.Class Policies
Please contact the instructor.Previous Course Instructor Websites
Sara Lopez-PintadoWeekly Lecturing Agenda and Readings
Lecture | Topics | Reading Assignments |
---|---|---|
1 | Introduction , Basic Stats, Linear Models | |
2 | Linear Models: Diagnostics and matrix formulation | |
3 | Multiple regression | |
4 | Multiple regression: diagnostics and testing | |
5 | ANOVA, ANCOVA | |
6 | Model selection I: testing, subset selection | |
7 | Model selection II: selection criteria | |
8 | Model selection III: bootstrap, cross-validation | |
9 | Regularized regression: PCreg, Ridge and Lasso. Bayesian methods | |
10 | Nonlinear regression, Weighted LS | |
11 | Looking ahead: generalized linear models | |
12 | CART, non-parametric methods | |
13 | Review | |
14 | Student Presentation |