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}
}
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-structured… CONTINUE READING
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