Energy statistics: A class of statistics based on distances

被引:415
作者
Szekely, Gabor J. [1 ,2 ]
Rizzo, Maria L. [3 ]
机构
[1] Natl Sci Fdn, Arlington, VA 22230 USA
[2] Hungarian Acad Sci, Renyi Inst Math, H-1051 Budapest, Hungary
[3] Bowling Green State Univ, Dept Math & Stat, Bowling Green, OH 43403 USA
基金
美国国家科学基金会;
关键词
Energy distance; Goodness-of-fit; Multivariate independence; Distance covariance; Distance correlation; OF-FIT TESTS; CAUCHY DISTRIBUTION; DEPENDENCE;
D O I
10.1016/j.jspi.2013.03.018
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
Energy distance is a statistical distance between the distributions of random vectors, which characterizes equality of distributions. The name energy derives from Newton's gravitational potential energy, and there is an elegant relation to the notion of potential energy between statistical observations. Energy statistics are functions of distances between statistical observations in metric spaces. Thus even if the observations are complex objects, like functions, one can use their real valued nonnegative distances for inference. Theory and application of energy statistics are discussed and illustrated. Finally, we explore the notion of potential and kinetic energy of goodness-of-fit. (C) 2013 Elsevier B.V. All rights reserved.
引用
收藏
页码:1249 / 1272
页数:24
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