Selective inference after cross-validation

Understand

This paper describes a method for performing inference on models chosen by cross-validation.

• When the test error being minimized in cross-validation is a residual sum of squares it can be written as a quadratic form.
• This allows us to apply the inference framework in Loftus et al.
• (2015) for models determined by quadratic constraints to the model that minimizes CV test error.