Nonparametric Density Estimators in Abstract and Homogeneous Spaces
作者： Wolfgang Wertz
DOI: 10.1007/978-1-4612-5934-3_28
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摘要: The problem of estimating probability densities by generalized kernel estimators, based on independent observations in an abstract space is investigated. Some asymptotic results (consistency, unbiasedness) are given and applications to special spaces X (first all homogeneous spaces) considered.
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