Mamane, Salha2017-05-262017-05-262017Mamane, Salha (2017) Wishart laws on convex cones, University of the Witwatersrand, Johannesburg, <http://hdl.handle.net/10539/22737>http://hdl.handle.net/10539/22737A thesis submitted to the Faculty of Science, School of Statistics and Actuarial Science, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Doctor of Philosophy. Johannesburg, January 25, 2017.The classical Wishart distribution, was first derived byWishart (1928) as the distribution of the maximum likelihood estimator of the covariance matrix of the multivariate normal distribution. It is a matrix variate generalization of the gamma distribution. In high dimensional settings,Wishart distributions defined within the framework of graphical models are of particular importance. [No abstract provided. Information taken from introduction]Online resource (xii, 115 leaves)enFunctions of real variablesConvex bodiesConeThesis