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Implementation And Application Of The Curds And Whey Algorithm To Regression Problems, John Kidd
Implementation And Application Of The Curds And Whey Algorithm To Regression Problems, John Kidd
All Graduate Theses and Dissertations, Spring 1920 to Summer 2023
A common statistical problem is trying to predict two or more variables using a set of predictor variables. The simplest model for this situation is called multivariate linear regression. This method uses each set of predictor variables to predict each of the response variables separately. This approach seems counter-intuitive as any possible relationship between the variables being predicted is ignored.
Breiman and Friedman found a way to take advantage of relationships among the response variables to increase the accuracy of the predictions for each of the predicted variables with an algorithm they called Curds and
Whey. It uses other statistical …