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Robust Algorithms for Change-Point Regressions Using the t-Distribution

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Regression models with change-points have been widely applied in various fields. Most methodologies for change-point regressions assume Gaussian errors. For 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. https://chefesquipmenters.shop/product-category/cart-accessories/
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