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Statistical Agnostic Regression: a machine learning method to validate regression models
Feb. 26, 2024, 5:43 a.m. | Juan M Gorriz, J. Ramirez, F. Segovia, F. J. Martinez-Murcia, C. Jim\'enez-Mesa, J. Suckling
cs.LG updates on arXiv.org arxiv.org
Abstract: Regression analysis is a central topic in statistical modeling, aiming to estimate the relationships between a dependent variable, commonly referred to as the response variable, and one or more independent variables, i.e., explanatory variables. Linear regression is by far the most popular method for performing this task in several fields of research, such as prediction, forecasting, or causal inference. Beyond various classical methods to solve linear regression problems, such as Ordinary Least Squares, Ridge, or …
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