Robust Algorithms for Change-Point Regressions Using the t-Distribution
Regression models with change-points have been widely applied in various fields.Most methodologies for change-point regressions assume Gaussian errors.For Bed Wedges many real data having longer-than-normal tails or atypical observations, the use of normal errors may unduly affect the fit of change-point regression models.This paper proposes two ro