A Brief Derivation of Necessary and Sufficient Conditions for a Family of Matrix Quadratic Forms to Have Mutually Independent Non-Central Wishart Distributions

SANKHYA-SERIES A-MATHEMATICAL STATISTICS AND PROBABILITY(2021)

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摘要
We provide a new, concise derivation of necessary and sufficient conditions for a real matrix-normally distributed matrix X and we characterize the general matrix-normal covariance structure such that, given the symmetric positive-semidefinite matrices A i , i = 1,2,..., m , the matrix quadratic forms X^'A_iX are distributed as independent noncentral Wishart matrices.
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关键词
Matrix trace, Kronecker product, chi-square random variable, matrix equations, generalized inverse matrix
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