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dc.contributor.authorBochkina, N.en
dc.contributor.authorSapatinas, Theofanisen
dc.creatorBochkina, N.en
dc.creatorSapatinas, Theofanisen
dc.date.accessioned2019-12-02T10:34:04Z
dc.date.available2019-12-02T10:34:04Z
dc.date.issued2006
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56537
dc.description.abstractWe investigate the theoretical performance of Bayes factor estimators at a single point in wavelet regression models with independent and identically distributed errors that are not necessarily normally distributed. We compare these estimators in terms of their frequentist pointwise optimality in Besov spaces for certain combinations of error and prior distributions. © 2006, Indian Statistical Institute.en
dc.sourceSankhya: The Indian Journal of Statisticsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-66249095680&partnerID=40&md5=499fe86327496a2b9863fb4c3a0d7d21
dc.subjectNonparametric regressionen
dc.subjectOptimalityen
dc.subjectWaveletsen
dc.subjectBesov spacesen
dc.subjectBayesian inferenceen
dc.subjectPointwise risken
dc.titleOn pointwise optimality of Bayes factor wavelet regression estimatorsen
dc.typeinfo:eu-repo/semantics/article
dc.description.volume68
dc.description.issue4
dc.description.startingpage513
dc.description.endingpage541
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Μαθηματικών και Στατιστικής / Department of Mathematics and Statistics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :3</p>en
dc.source.abbreviationSankhya Indian J.Stat.en
dc.contributor.orcidSapatinas, Theofanis [0000-0002-6126-4654]
dc.gnosis.orcid0000-0002-6126-4654


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