Model Selection
Course Notes for 171:290 Advanced Biostatistcs Seminar: Model Selection
Lecture I: Introductory Concepts
Lecture II: The Akaike Information Criterion
Lecture III: AIC and Corrected AIC, AICc
Lecture IV: Corrected and Modified AIC, AICc and MAIC
Lecture V: The Takeuchi Information Criterion, TIC
Lecture VI: The Schwarz Information Criterion, SIC
Lecture VII: The Conceptual Predictive Statistic, Cp
Lecture VIII: Criteria for Regression Model Selection
Lecture IX: Criteria for Time Series Model Selection (Part I)
Lecture X: Criteria for Time Series Model Selection (Part II)
Lecture XII: Discrepancy-Based Model Selection Criteria