A note about measures and Jacobians of singular random matrices
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Publication:2372138
DOI10.1016/j.jmva.2005.09.013zbMath1113.62059OpenAlexW1982234236MaRDI QIDQ2372138
Publication date: 11 July 2007
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2005.09.013
Hausdorff measureLebesgue measureJacobian of transformationsingular random matricesmatrix-variate normal singular distribution
Multivariate distribution of statistics (62H10) Characterization and structure theory for multivariate probability distributions; copulas (62H05) Random matrices (algebraic aspects) (15B52)
Related Items (9)
A note about measures, Jacobians and Moore-Penrose inverse ⋮ Singular matrix variate Birnbaum-Saunders distribution under elliptical models ⋮ On generalized multivariate analysis of variance ⋮ On the degrees of freedom in MCMC-based Wishart models for time series data ⋮ The Density Functions of the Singular Quaternion Normal Matrix and the Singular Quaternion Wishart Matrix ⋮ Singular extended skew-elliptical distributions ⋮ Doubly singular matrix variate beta type I and II and singular inverted matricvariate \(t\) distributions ⋮ Singular matric and matrix variate \(t\) distributions ⋮ Predictive inference for singular multivariate elliptically contoured distributions
Cites Work
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- Singular random matrix decompositions: Jacobians
- The 70th anniversary of the distribution of random matrices: A survey
- Multivariate calculation. Use of the continuous groups
- Distribution of the generalised inverse of a random matrix and its applications
- Normal Multivariate Analysis and the Orthogonal Group
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