A characterization of matrix variate normal distribution.
Dinh, Khoan T., Nguyen, Truc T. (1994)
International Journal of Mathematics and Mathematical Sciences
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Dinh, Khoan T., Nguyen, Truc T. (1994)
International Journal of Mathematics and Mathematical Sciences
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Kryštof Eben (1994)
Mathematica Bohemica
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In a multivariate normal distribution, let the inverse of the covariance matrix be a band matrix. The distribution of the sufficient statistic for the covariance matrix is derived for this case. It is a generalization of the Wishart distribution. The distribution may be used for unbiased density estimation and construction of classification rules.
Wiktor Oktaba (1995)
Applications of Mathematics
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The following three results for the general multivariate Gauss-Markoff model with a singular covariance matrix are given or indicated. determinant ratios as products of independent chi-square distributions, moments for the determinants and the method of obtaining approximate densities of the determinants.
Wiegmann, N.A. (1959)
Portugaliae mathematica
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Ejnar Lyttkens (1980)
Banach Center Publications
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Heinz Neudecker (2000)
Qüestiió
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This note contains a transparent presentation of the matrix Haffian. A basic theorem links this matrix and the differential ofthe matrix function under investigation, viz ∇F(X) and dF(X). Frequent use is being made of matrix derivatives as developed by Magnus and Neudecker.