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Matrix normal distribution : ウィキペディア英語版 | Matrix normal distribution
| cdf = | mean = | median = | mode = | variance = (among-row) and (among-column) | skewness = | kurtosis = | entropy = | mgf = | char = }} In statistics, the matrix normal distribution is a probability distribution that is a generalization of the multivariate normal distribution to matrix-valued random variables. == Definition == The probability density function for the random matrix X (''n'' × ''p'') that follows the matrix normal distribution has the form: : where denotes trace and M is ''n'' × ''p'', U is ''n'' × ''n'' and V is ''p'' × ''p''. The matrix normal is related to the multivariate normal distribution in the following way: : if and only if : where denotes the Kronecker product and denotes the vectorization of .
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