The most widely used general statistical procedure is (linear) regression. Regression models are powerful tools for modeling a target variable y as a function of a set of predictors x, allowing prediction for future values of y and the construction of tests and interval estimates for predictions and parameters.
KeywordsNonparametric Regression Kernel Estimator Smoothing Spline Local Polynomial Regression Bandwidth Selector
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