We introduce a fast stepwise regression method, called the orthogonal greedy algorithm (OGA), that selects input variables to enter a p-dimensional linear regression model (with p ≫ n, the sample size ...

The first step in conducting a regression-based study is to specify a model. In real applications, this is usually the most challenging step - deciding which variables “belong” in the model and which ...

This study developed a new real-time prediction method for September Arctic sea-ice extent, based on the interannual ...

(A) The pipeline for Multiple Stepwise Regression approach for predicting metabolite concentrations utilizing reflectance spectroscopy with a quintuple-phase methodology: acquisition of original ...

Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 48, No. 3 (1999), pp. 313-329 (17 pages) The number of variables in a regression model is often too large and a more ...