A proof for the existence of multivariate singular generalized skew-elliptical density functions

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Abstract

We derive the density functions of multivariate singular generalized skew-elliptical distributions, present their characteristic function, and derive explicit formulas for the expectation and the covariance matrix. This letter generalizes results given in Díaz-García et al. (2002) and Young et al. (2016) about the existence of multivariate singular elliptical and multivariate singular skew-normal density functions, respectively.

Original languageAmerican English
Pages (from-to)50-55
Number of pages6
JournalStatistics and Probability Letters
Volume141
DOIs
StatePublished - 1 Oct 2018
Externally publishedYes

Keywords

  • Affine subspace
  • Characteristic function
  • Generalized skew-elliptical distributions
  • High-dimensional data
  • Lebesgue measure
  • Pseudoinverse

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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