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 language | American English |
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Pages (from-to) | 50-55 |
Number of pages | 6 |
Journal | Statistics and Probability Letters |
Volume | 141 |
DOIs | |
State | Published - 1 Oct 2018 |
Externally published | Yes |
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