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dc.contributor.authorGiakoumatos, Stefanos G.en
dc.contributor.authorVrontos, Ioannis D.en
dc.contributor.authorDellaportas, Petrosen
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.creatorGiakoumatos, Stefanos G.en
dc.creatorVrontos, Ioannis D.en
dc.creatorDellaportas, Petrosen
dc.creatorPolitis, Dimitris Nicolasen
dc.date.accessioned2019-12-02T10:35:20Z
dc.date.available2019-12-02T10:35:20Z
dc.date.issued1999
dc.identifier.issn1061-8600
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/56872
dc.description.abstractA new diagnostic procedure for assessing convergence of a Markov chain Monte Carlo (MCMC) simulation is proposed. The method is based on the use of subsampling for the construction of confidence regions from asymptotically stationary time series as developed in Politis, Romano, and Wolf. The MCMC subsampling diagnostic is capable of gauging at what point the chain has “forgotten” its starting points, as well as to indicate how many points are needed to estimate the parameters of interest according to the desired accuracy. Simulation examples are also presented showing that the diagnostic performs favorably in interesting cases. © 1999 American Statistical Association, Institute of Mathematical Statistics, and Interface Foundation of North America.en
dc.sourceJournal of Computational and Graphical Statisticsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0033245945&doi=10.1080%2f10618600.1999.10474825&partnerID=40&md5=a823f2929d780c0a244e73d35271fcc4
dc.subjectStrong mixingen
dc.subjectConfidence regionsen
dc.subjectAsymptotic stationarityen
dc.titleA markov chain monte carlo convergence diagnostic using subsamplingen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1080/10618600.1999.10474825
dc.description.volume8
dc.description.issue3
dc.description.startingpage431
dc.description.endingpage451
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 :11</p>en
dc.source.abbreviationJ.Comput.Graph.Stat.en
dc.contributor.orcidVrontos, Ioannis D. [0000-0002-3283-6668]
dc.gnosis.orcid0000-0002-3283-6668


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