Computational Statistics
Modern methods of computational statistics and their application to both practical problems and research. S-Plus and SAS programming with emphasis on S-Plus. S-Plus objects and functions, and SAS procedures. Topics include data management and graphics, Monte Carlo and simulation, bootstrapping, numerical optimization in statistics, linear and generalized linear models, nonparametric regression, time series analysis.
Topics
- data management and graphics
- Monte Carlo and simulation
- bootstrapping
- numerical optimization in statistics
- linear and generalized linear models
- nonparametric regression
- time series analysis
Topics explicitly listed in official catalogue description
Prerequisites & course information
Recommended: Have some programming experience (any language). Credit Only Granted for: STAT705 or STAT798C. Formerly: STAT798C. Additional Information: To prepare for this course, students should take STAT700 or STAT420 or consult with the course instructor before registering.
Sources
- Course catalogue ↗2026-2027