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Matrix gamma distribution

β > 0 {displaystyle eta >0} scale parameterIn statistics, a matrix gamma distribution is a generalization of the gamma distribution to positive-definite matrices. It is a more general version of the Wishart distribution, and is used similarly, e.g. as the conjugate prior of the precision matrix of a multivariate normal distribution and matrix normal distribution. The compound distribution resulting from compounding a matrix normal with a matrix gamma prior over the precision matrix is a generalized matrix t-distribution. In statistics, a matrix gamma distribution is a generalization of the gamma distribution to positive-definite matrices. It is a more general version of the Wishart distribution, and is used similarly, e.g. as the conjugate prior of the precision matrix of a multivariate normal distribution and matrix normal distribution. The compound distribution resulting from compounding a matrix normal with a matrix gamma prior over the precision matrix is a generalized matrix t-distribution. This reduces to the Wishart distribution with β = 2 , α = n 2 . {displaystyle eta =2,alpha ={frac {n}{2}}.}

[ "Matrix normal distribution", "Normal-Wishart distribution", "Estimation of covariance matrices", "Inverse-Wishart distribution", "Matrix t-distribution" ]
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