Kernel Estimation in High-Energy Physics

Details Kernel Estimation in High-Energy Physics Kernel Estimation in High-Energy Physics

2000-11-17

arxiv.org/abs/hep-ex/0011057v1

Comput.Phys.Commun. 136 (2001) 198-207

Physics

High Energy Physics

High Energy Physics - Experiment

17 pages, 2 ps figures. To be published in Computer Physics Communications. Uses elsart.sty and elsart.cls files

Scientific paper

10.1016/S0010-4655(00)00243-5

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.

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