Consistent nonparametric regression from recursive partitioning schemes
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Publication:1149211
DOI10.1016/0047-259X(80)90074-3zbMath0453.62035MaRDI QIDQ1149211
Richard A. Olshen, Louis Gordon
Publication date: 1980
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
boxesrecursive partitioning schemesasymptotically Bayes risk efficient classificationconsistent nonparametric regressionconvergence in pth meanlocal sample meanstruncateduntruncated
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Cites Work
- Unnamed Item
- Unnamed Item
- Distribution-free consistency results in nonparametric discrimination and regression function estimation
- Consistent window estimation in nonparametric regression
- Asymptotically efficient solutions to the classification problem
- Consistent nonparametric regression. Discussion
- On large deviations of the empiric D.F. of vector chance variables and a law of the iterated logarithm
- A Recursive Partitioning Decision Rule for Nonparametric Classification
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