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• W2012206282 abstract "Kernel Estimation provides an unbinned and non-parametric estimate of the probability density function from which a set of data is drawn. In the first section, after a brief discussion on parametric and non-parametric methods, the theory of Kernel Estimation is developed for univariate and multivariate settings. The second section discusses some of the applications of Kernel Estimation to high-energy physics. The third section provides an overview of the available univariate and multivariate packages. This paper concludes with a discussion of the inherent advantages of kernel estimation techniques and systematic errors associated with the estimation of parent distributions." @default.
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• W2012206282 date "2001-05-01" @default.
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• W2012206282 title "Kernel estimation in high-energy physics" @default.
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• W2012206282 doi "https://doi.org/10.1016/s0010-4655(00)00243-5" @default.
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