Angle

Least Angle Regression (LARS) without Matrix Inversion

Least Angle Regression (LARS) without Matrix Inversion
  1. Why is there a least angle regression?
  2. Can least angle regression do variable selection?

Why is there a least angle regression?

Least Angle Regression (LARS) relates to the classic model-selection method known as Forward Selection, or “forward stepwise regression,” de- scribed in Weisberg [(1980), Section 8.5]: given a collection of possible predic- tors, we select the one having largest absolute correlation with the response y, say xj1 , and ...

Can least angle regression do variable selection?

Abstract: Least Angle Regression is a promising technique for variable selection applications, offering a nice alternative to stepwise regression.

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