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- W2034862428 abstract "We introduce a new class of nonparametric density estimators. It includes the classical kernel density estimator as well as the popular Abramson's estimator. We show that generalized estimators may perform much better than the classical one if the distribution has a heavy tail. The asymptotics of the mean squared error (MSE), optimal (in a sense) kernel, and smoothing parameter are found." @default.
- W2034862428 created "2016-06-24" @default.
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- W2034862428 date "2000-01-01" @default.
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- W2034862428 title "Generalized Kernel Density Estimator" @default.
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- W2034862428 doi "https://doi.org/10.1137/s0040585x97977781" @default.
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