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Subjective Bayesian analysis of elliptical models

Dissertation (MSc)--University of Pretoria, 2012.

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Other Authors: Bekker, Andriette, 1958-
Format: Thesis
Published: University of Pretoria 2013
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access_status_str Open Access
author2 Bekker, Andriette, 1958-
author_browse Bekker, Andriette, 1958-
author_facet Bekker, Andriette, 1958-
collection Thesis
dc_rights_str_mv © 2012 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria
description Dissertation (MSc)--University of Pretoria, 2012.
format Thesis
id oai:repository.up.ac.za:2263/30945
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:40:17.184Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2013
publishDateRange 2013
publishDateSort 2013
publisher University of Pretoria
publisherStr University of Pretoria
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/30945 Subjective Bayesian analysis of elliptical models Bekker, Andriette, 1958- Roux, Jacobus J.J. Arashi-Shahrood, M. Van Niekerk, Janet UCTD Bayesian Characteristic matrix Elliptically contoured Dissertation (MSc)--University of Pretoria, 2012. The problem of estimation has been widely investigated with all different kinds of assumptions. This study focusses on the subjective Bayesian estimation of a location vector and characteristic matrix for the univariate and multivariate elliptical model as oppose to objective Bayesian estimation that has been thoroughly discussed (see Fang and Li (1999) amongst others). The prior distributions that will be assumed is the conjugate normal-inverse Wishart prior and also the normal-Wishart prior which has not yet been considered in literature. The posterior distributions, joint and marginal, as well as the Bayes estimators will be derived. The newly developed results are applied to the multivariate normal and multivariate t-distribution. For subjective Bayesian analysis the vector-spherical matrix elliptical model is also studied. Statistics MSc Unrestricted 2013-09-09T07:51:51Z 2013-06-28 2013-09-09T07:51:51Z 2013-04-17 2012 2013-06-21 Dissertation Van Niekerk, J 2012, Subjective Bayesian analysis of elliptical models, MSc Dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/30945> E13/4/514/gm http://hdl.handle.net/2263/30945 http://upetd.up.ac.za/thesis/available/etd-06212013-143729/ © 2012 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria application/pdf University of Pretoria
spellingShingle UCTD
Bayesian
Characteristic matrix
Elliptically contoured
Subjective Bayesian analysis of elliptical models
title Subjective Bayesian analysis of elliptical models
title_full Subjective Bayesian analysis of elliptical models
title_fullStr Subjective Bayesian analysis of elliptical models
title_full_unstemmed Subjective Bayesian analysis of elliptical models
title_short Subjective Bayesian analysis of elliptical models
title_sort subjective bayesian analysis of elliptical models
topic UCTD
Bayesian
Characteristic matrix
Elliptically contoured
url http://hdl.handle.net/2263/30945
http://upetd.up.ac.za/thesis/available/etd-06212013-143729/