Some remarks on Bayesian multiple hypothesis testing

dc.authoridAfser, Huseyin/0000-0002-6302-4558
dc.contributor.authorAfser, Huseyin
dc.date.accessioned2025-01-06T17:36:39Z
dc.date.available2025-01-06T17:36:39Z
dc.date.issued2022
dc.description.abstractWe consider Bayesian multiple hypothesis problem with independent and identically distributed observations. The classical, Sanov's theorem-based, analysis of the error probability allows one to characterize the best achievable error exponent. However, this analysis does not generalize to the case where the true distributions of the hypothesis are not exact or partially known via some nominal distributions. This problem has practical significance, because the nominal distributions may be quantized versions of the true distributions in a hardware implementation, or they may be estimates of the true distributions obtained from labeled training sequences as in statistical classification. In this paper, we develop a type-based analysis to investigate Bayesian multiple hypothesis testing problem. Our analysis allows one to explicitly calculate the error exponent of a given type and extends the classical analysis. As a generalization of the proposed method, we derive a robust test and obtain its error exponent for the case where the hypothesis distributions are not known but there exist nominal distribution that are close to true distributions in variational distance.
dc.identifier.doi10.15672/hujms.826558
dc.identifier.endpage287
dc.identifier.issn2651-477X
dc.identifier.issue1
dc.identifier.scopus2-s2.0-85130754688
dc.identifier.scopusqualityQ2
dc.identifier.startpage273
dc.identifier.trdizinid1159376
dc.identifier.urihttps://doi.org/10.15672/hujms.826558
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1159376
dc.identifier.urihttps://hdl.handle.net/20.500.14669/1925
dc.identifier.volume51
dc.identifier.wosWOS:000760384600021
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherHacettepe Univ, Fac Sci
dc.relation.ispartofHacettepe Journal of Mathematics and Statistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_20241211
dc.subjectBayesian hypothesis testing
dc.subjectstatistical classification
dc.subjectrobust hypothesis testing
dc.subjectChernoff information
dc.subjectmethod of types
dc.titleSome remarks on Bayesian multiple hypothesis testing
dc.typeArticle

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