Tempered distributions and their application in computing conditional moments for normal mixtures

被引:1
|
作者
Fotopoulos, SB
机构
[1] Washington State Univ, Coll Business & Econ, Dept Management & Syst, Dept Management & Decis Sci, Pullman, WA 99164 USA
[2] Washington State Univ, Dept Stat, Pullman, WA 99164 USA
关键词
Bochner-Riesz kernel; radial functions; Fourier-Bessel transform; conditional expectation; mixing variables;
D O I
10.1016/j.spl.2003.12.008
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
We offer a unified theory, which provides necessary and sufficient conditions for almost everywhere convergence of radial smooth functions using Fourier integrals on Euclidean spaces. We apply this methodology to obtain expressions for the conditional variance of scale mixtures of multivariate normal. We present some specific examples, i.e., the multivariate t-distribution and when the scale is gamma distributed. (C) 2003 Elsevier B.V. All rights reserved.
引用
收藏
页码:257 / 266
页数:10
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