Least Squares Absolute Value Regression

Abstract

We introduce a nonlinear least squares regression problem, tentatively called least squares absolute value regression, and develop a convergent MM algorithm to minimize the residual sum of squares. We also discuss the combinatorial aspects of the optimization problem, and introduce a regularized version.

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