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dc.contributor.authorPaparoditis Efstathios, E.en
dc.contributor.authorPolitis, Dimitris Nicolasen
dc.creatorPaparoditis Efstathios, E.en
dc.creatorPolitis, Dimitris Nicolasen
dc.date.accessioned2019-12-02T10:37:34Z
dc.date.available2019-12-02T10:37:34Z
dc.date.issued2015
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/57438
dc.description.abstractThe asymptotic behaviour of nonparametric estimators of the stationary density and of the spectral density function of a stationary process have been studied in some detail in the last 50-60years. Nevertheless, less is known about the behaviour of these estimators when the target function happens to vanish at the point of interest. In the article at hand, we fill this gap and show that asymptotic normality still holds true but with super-efficient and different rates of convergence for the density and for the spectral density estimators that are affected also by the dependence structure of the process. © 2015 Wiley Publishing Ltd.en
dc.sourceJournal of Time Series Analysisen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84931863950&doi=10.1111%2fjtsa.12142&partnerID=40&md5=3fcdeb016e4202db366336f39b3bb3d9
dc.subjectTime seriesen
dc.subjectNonparametric estimationen
dc.subjectCentral limit theoremen
dc.subjectKernel smoothingen
dc.subjectOverdifferencingen
dc.titleAAA Note on the Behaviour of Nonparametric Density and Spectral Density Estimators at Zero Points of their Supporten
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1111/jtsa.12142
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>Article in Press</p>en
dc.source.abbreviationJ.Time Ser.Anal.en
dc.contributor.orcidPaparoditis Efstathios, E. [0000-0003-1958-781X]
dc.gnosis.orcid0000-0003-1958-781X


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