Density adjusted kernel smoothers for random design nonparametric regression

Hans‐Georg Müller

doi:10.1016/s0167-7152(97)00059-x

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Density adjusted kernel smoothers for random design nonparametric regression

Hans‐Georg Müller

Year: 1997 Journal: Statistics & Probability Letters Vol: 36 (2)Pages: 161-172 Publisher: Elsevier BV

DOI: 10.1016/s0167-7152(97)00059-x

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Keywords:

Mathematics Kernel regression Nonparametric regression Statistics Kernel density estimation Nonparametric statistics Kernel (algebra) Regression Kernel smoother Kernel method Artificial intelligence Combinatorics Radial basis function kernel Estimator Support vector machine

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Density adjusted kernel smoothers for random design nonparametric regression

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