On smoothness of Tukey depth contours

被引:5
|
作者
Gijbels, Irene [1 ,2 ]
Nagy, Stanislav [1 ,2 ,3 ]
机构
[1] Katholieke Univ Leuven, Dept Math, Leuven, Belgium
[2] Katholieke Univ Leuven, Leuven Stat Res Ctr LStat, Leuven, Belgium
[3] Charles Univ Prague, Dept Probabil & Math Stat, Prague, Czech Republic
基金
比利时弗兰德研究基金会;
关键词
data depth; depth contours; optimal halfspace; Tukey depth; smoothness; quasi-concavity; HALF-SPACE DEPTH; CHARACTERIZE; DISTRIBUTIONS; ASYMPTOTICS;
D O I
10.1080/02331888.2016.1145680
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
The smoothness of Tukey depth contours is a regularity condition often encountered in asymptotic theory, among others. This condition ensures that the Tukey depth fully characterizes the underlying multivariate probability distribution. In this paper we demonstrate that this regularity condition is rarely satisfied. It is shown that even well-behaved probability distributions with symmetrical, smooth and (strictly) quasi-concave densities may have non-smooth Tukey depth contours, and that the smoothness behaviour of depth contours is fairly unpredictable.
引用
收藏
页码:1075 / 1085
页数:11
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