Matrix variate gamma distributions with unrestricted shape parameter
Matrix gamma distributions are among the most important matrix-variate laws in multivariate statistical analysis, as they encompass the Wishart distributions – the sample covariance distributions under Gaussianity – and provide a natural model for random covariances in Bayesian multivariate methods. A substantial body of literature explores this class of distributions, traditionally characterized
