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Kernel estimation in high-energy physics. (English) Zbl 0973.81546
Summary: 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.

MSC:
81V05 Strong interaction, including quantum chromodynamics
81-04 Software, source code, etc. for problems pertaining to quantum theory
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