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1
Introduction
2
Problems of prediction
3
Cross-validation
4
Regularization
5
Measuring prediction penalties
6
Importance sampling
7
Information criteria
8
Model mis-selection
9
Outliers and robust regression
10
Summary and outlook
Description:
Explore the concept of overfitting in statistical modeling through this comprehensive lecture from the Statistical Rethinking 2022 series. Delve into problems of prediction, cross-validation techniques, and regularization methods. Learn about measuring prediction penalties, importance sampling, and information criteria. Examine the challenges of model mis-selection and understand how to handle outliers using robust regression. Gain valuable insights into advanced statistical concepts and their practical applications in data analysis and predictive modeling.

Statistical Rethinking 2022 - Overfitting

Richard McElreath
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