Financial Mathematics
Variable selection is the process of identifying and choosing a subset of relevant features or predictors from a larger set of variables to be used in a statistical model. This is crucial for improving model accuracy, interpretability, and computational efficiency, especially in regression analysis, where the goal is to build a model that explains the relationship between dependent and independent variables without including unnecessary or redundant information.
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