Joint Statistical Meetings- Statistical Computing Section Maximum Likelihood Regression Trees

Citations in the corpus

• Fifty Years of Classification and Regression Trees (2014, methodology): “Su et al. (2004) extended CART by using maximum likelihood to choose the splits in a piecewise constant regression model, but instead of the usual negative log-likelihood, they used Akaike information criterion (AIC) and an independent test sample to prune the tree.”