Wishart laws on convex cones

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dc.contributor.authorMamane, Salha
dc.date.accessioned2017-05-26T11:42:34Z
dc.date.available2017-05-26T11:42:34Z
dc.date.issued2017
dc.descriptionA 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.en_ZA
dc.description.abstractThe 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]
dc.description.librarianMT2017en_ZA
dc.format.extentOnline resource (xii, 115 leaves)
dc.identifier.citationMamane, Salha (2017) Wishart laws on convex cones, University of the Witwatersrand, Johannesburg, <http://hdl.handle.net/10539/22737>
dc.identifier.urihttp://hdl.handle.net/10539/22737
dc.language.isoenen_ZA
dc.subject.lcshFunctions of real variables
dc.subject.lcshConvex bodies
dc.subject.lcshCone
dc.titleWishart laws on convex conesen_ZA
dc.typeThesisen_ZA
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