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# Generalized Regression Trees ( Statistica Sinica 1995 , v .

@inproceedings{Chaudhuri1995GeneralizedRT, title={Generalized Regression Trees ( Statistica Sinica 1995 , v .}, author={Probal Chaudhuri and W Y Lo and Wei-Yin Loh and Ching-Ching Yang}, year={1995} }

- Published 1995

A method of generalized regression that blends tree-structured nonparametric regression and adaptive recursive partitioning with maximum likelihood estimation is studied. The function estimate is a piecewise polynomial, with the pieces determined by the terminal nodes of a binary decision tree. The decision tree is constructed by recursively partitioning the data according to the signs of the residuals from a model fitted by maximum likelihood to each node. Algorithms for tree-structuredā¦Ā CONTINUE READING

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