1 code implementation • 13 Feb 2017 • Patrick J. Miller, Daniel B. McArtor, Gitta H. Lubke
A machine learning method called boosted decision trees (Friedman, 2001) is a good approach for exploratory regression analysis in real data sets because it can detect predictors with nonlinear and interaction effects while also accounting for missing data.
1 code implementation • 6 Nov 2015 • Patrick J. Miller, Gitta H. Lubke, Daniel B. McArtor, C. S. Bergeman
To find and interpret structure in data sets with multiple outcomes and many predictors (possibly exceeding the sample size), we introduce a multivariate extension to a decision tree ensemble method called Gradient Boosted Regression Trees (Friedman, 2001).