Linear regression with partially mismatched data: local search with theoretical guarantees
Linear regression with partially mismatched data: local search with theoretical guarantees
Abstract Linear regression is a fundamental modeling tool in statistics and related fields. In this paper, we study an important variant of linear regression in which the predictor-response pairs are partially mismatched. We use an optimization formulation to simultaneously learn the underlying regression coefficients and the permutation corresponding to the …