Wavelet-based random densities

被引：0
作者：
David Rios Insua
Brani Vidakovic
机构：
[1] Universidad Rey Juan Carlos,ESCET
[2] Duke University,Department of Statistics
来源：
Computational Statistics | 2000年 / 15卷
关键词：
Random Density; Simulation; Wavelet Transformation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper we describe the theoretical properties of wavelet based random densities and present algorithms for their generation. We exhibit random densities subject to some standard constraints: smoothness, symmetry, unimodality, and skewness. We also provide three relevant applications of wavelet based-random densities.
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页码：183 / 203
页数：20
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