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Bayesian estimation of Shannon entropy for bivariate beta priors

Dissertation (MSc)--University of Pretoria, 2010.

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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 © 2010, 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, 2010.
format Thesis
id oai:repository.up.ac.za:2263/26191
institution University of Pretoria (South Africa)
last_indexed 2026-06-10T12:38:05.905Z
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:2263/26191 Bayesian estimation of Shannon entropy for bivariate beta priors Bekker, Andriette, 1958- liesbeth.bodvin@gmail.com Roux, Jacobus J.J. Bodvin, Joanna Sylvia Liesbeth Bayesian estimation Calibration Credit risk Probability of default Shannon entropy Bivariate beta UCTD Dissertation (MSc)--University of Pretoria, 2010. Having just survived what is arguably the worst financial crisis in time, it is expected that the focus on regulatory capital held by financial institutions such as banks will increase significantly over the next few years. The probability of default is an important determinant of the amount of regulatory capital to be held, and the accurate calibration of this measure is vital. The purpose of this study is to propose the use of the Shannon entropy when determining the parameters of the prior bivariate beta distribution as part of a Bayesian calibration methodology. Various bivariate beta distributions will be considered as priors to the multinomial distribution associated with rating categories, and the appropriateness of these bivariate beta distributions will be tested on default data. The formulae derived for the Bayesian estimation of Shannon entropy will be used to measure the certainty obtained when selecting the prior parameters. Statistics unrestricted 2013-09-07T03:42:30Z 2010-09-22 2013-09-07T03:42:30Z 2010-09-02 2010-09-22 2010-07-10 Dissertation Bodvin, LJS 2010, Bayesian estimation of Shannon entropy for bivariate beta priors, MSc dissertation, University of Pretoria, Pretoria, viewed yymmdd < http://hdl.handle.net/2263/26191 > C10/529/gm http://hdl.handle.net/2263/26191 http://upetd.up.ac.za/thesis/available/etd-07102010-123814/ © 2010, 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 Bayesian estimation
Calibration
Credit risk
Probability of default
Shannon entropy
Bivariate beta
UCTD
Bayesian estimation of Shannon entropy for bivariate beta priors
title Bayesian estimation of Shannon entropy for bivariate beta priors
title_full Bayesian estimation of Shannon entropy for bivariate beta priors
title_fullStr Bayesian estimation of Shannon entropy for bivariate beta priors
title_full_unstemmed Bayesian estimation of Shannon entropy for bivariate beta priors
title_short Bayesian estimation of Shannon entropy for bivariate beta priors
title_sort bayesian estimation of shannon entropy for bivariate beta priors
topic Bayesian estimation
Calibration
Credit risk
Probability of default
Shannon entropy
Bivariate beta
UCTD
url http://hdl.handle.net/2263/26191
http://upetd.up.ac.za/thesis/available/etd-07102010-123814/