Chapter 11: The ML Pipeline
Classical Statistical Tests as Linear Models intermediate
OLS, t-tests, ANOVA, and Pearson correlation are not separate islands; for the cases covered here, they are linear models with different design matrices and different coefficient restrictions.
OLS, t-tests, ANOVA, and Pearson correlation are not separate islands; for the cases covered here, they are linear models with different design matrices and different coefficient restrictions.
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References
Regression Shrinkage and Selection Via the Lasso
Robert Tibshirani
(1996)
— Journal of the Royal Statistical Society: Series B (Methodological)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition
Trevor Hastie, Robert Tibshirani, Jerome Friedman
(2009)
— Springer-Verlag
Linear Model Selection and Regularization
Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani, Jonathan Taylor
(2023)
— Springer