Scale and shape mixtures of matrix variate extended skew normal distributions
DOI10.1016/j.jmva.2020.104649zbMath1448.62066OpenAlexW3037954194MaRDI QIDQ2196133
Fatemeh Yousefzadeh, Reinaldo B. Arellano-Valle, A. S. Rezaei
Publication date: 28 August 2020
Published in: Journal of Multivariate Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jmva.2020.104649
EM algorithmmaximum likelihood estimatorskew normal distributionmatrix variate distributionsmatrix variate tail conditional expectationscale and shape mixtures
Estimation in multivariate analysis (62H12) Characterization and structure theory for multivariate probability distributions; copulas (62H05)
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Cites Work
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- On multivariate folded normal distribution
- The commutation matrix: Some properties and applications
- Covariance pattern mixture models for the analysis of multivariate heterogeneous longitudinal data
- Three skewed matrix variate distributions
- Scale and shape mixtures of multivariate skew-normal distributions
- On some characterizations of the \(t\)-distribution
- Compound and scale mixture of matricvariate and matrix variate Kotz-type distributions
- The multivariate skew-slash distribution
- Moments and quadratic forms of matrix variate skew normal distributions
- Elliptically Contoured Models in Statistics and Portfolio Theory
- The inverse problem of multivariate and matrix-variate skew normal distributions
- On matrix variate skew-normal distributions
- Matrix variate extended skew normal distributions
- A unified view on skewed distributions arising from selections
- Matrix variate skew normal distributions
- A Matrix Variate Closed Skew-Normal Distribution with Applications to Stochastic Frontier Analysis
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