Efficient computation of Bayesian optimal discriminating designs

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dc.contributor.authorDette, Holger
dc.contributor.authorGuchenko, Roman
dc.contributor.authorMelas, Viatcheslav B.
dc.date.accessioned2015-07-21T11:10:07Z
dc.date.available2015-07-21T11:10:07Z
dc.date.issued2015
dc.description.abstractAn efficient algorithm for the determination of Bayesian optimal discriminating designs for competing regression models is developed, where the main focus is on models with general distributional assumptions beyond the \classical" case of normally distributed homoscedastic errors. For this purpose we consider a Bayesian version of the Kullback- Leibler (KL) optimality criterion introduced by Lopez-Fidalgo et al. (2007). Discretizing the prior distribution leads to local KL-optimal discriminating design problems for a large number of competing models. All currently available methods either require a large computation time or fail to calculate the optimal discriminating design, because they can only deal efficiently with a few model comparisons. In this paper we develop a new algorithm for the determination of Bayesian optimal discriminating designs with respect to the Kullback-Leibler criterion. It is demonstrated that the new algorithm is able to calculate the optimal discriminating designs with reasonable accuracy and computational time in situations where all currently available procedures are either slow or fail.en
dc.identifier.urihttp://hdl.handle.net/2003/34157
dc.identifier.urihttp://dx.doi.org/10.17877/DE290R-7518
dc.language.isoende
dc.relation.ispartofseriesDiscussion Paper / SFB 823;23/2015en
dc.subjectdesign of experimenten
dc.subjectKullback-Leibler distanceen
dc.subjectmodel uncertaintyen
dc.subjectgradient methodsen
dc.subjectmodel discriminationen
dc.subjectBayesian optimal designen
dc.subject.ddc310
dc.subject.ddc330
dc.subject.ddc620
dc.titleEfficient computation of Bayesian optimal discriminating designsen
dc.typeTextde
dc.type.publicationtypeworkingPaperde
dcterms.accessRightsopen access

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Sonderforschungsbereich (SFB) 823