Explore advanced statistical concepts in this comprehensive lecture on fitting models. Delve into cross-validation techniques, regularization methods, and importance sampling. Examine the challenges of model mis-selection and learn about robust regression approaches. Gain insights into information criteria and their applications in statistical analysis. Conclude with a summary and outlook on the future of statistical modeling. Access additional course materials through the provided GitHub repository for a deeper understanding of the topics covered.
Statistical Rethinking 2023 - Fitting Over & Under
Overview
Syllabus
Introduction
Cross-validation
Regularization
Pause
Importance sampling and information criteria
Model mis-selection
Robust regression
Summary and outlook
Taught by
Richard McElreath
