隐式给定核函数形式下Parzen型非参数概率密度估计的修正

2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon) Pub Date : 2018-10-01 DOI:10.1109/FAREASTCON.2018.8602807

A. V. Lapko, V. A. Lapko, E. A. Yuronen

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引用次数: 0

摘要

提出并研究了一种基于平滑算子的非参数概率密度估计方法。与Rosenblatt-Parzen等概率密度估计相比，它具有较小的离散度。

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Modification of Nonparametric Probability Density Estimation of Parzen's Type with Implicitly Given form of Kernel Function

The new nonparametric probability density estimation based on use of the smoothing operator is offered and investigated. It has smaller dispersion in comparison with probability density estimation like Rosenblatt-Parzen.

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来源期刊

2018 International Multi-Conference on Industrial Engineering and Modern Technologies (FarEastCon)

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