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Statistical inference for evolving periodic functions

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dc.contributor.authorGenton, Marc
dc.contributor.authorHall, Peter
dc.date.accessioned2015-12-07T22:38:55Z
dc.date.issued2007
dc.date.updated2015-12-07T10:42:48Z
dc.description.abstractIn the study of variable stars, where the light reaching an observer fluctuates over time, it can be difficult to explain the nature of the variation unless it follows a regular pattern. In this respect, so-called periodic variable stars are particularly
dc.identifier.issn1369-7412
dc.identifier.urihttp://hdl.handle.net/1885/23637
dc.publisherAiden Press
dc.sourceJournal of the Royal Statistical Society Series B
dc.subjectKeywords: Amplitude; Astronomy; Bandwidth; Bootstrap; Kernel methods; Light curve; Non-parametric regression; Parametric inference; Time transformation
dc.titleStatistical inference for evolving periodic functions
dc.typeJournal article
local.bibliographicCitation.issue4
local.bibliographicCitation.lastpage657
local.bibliographicCitation.startpage643
local.contributor.affiliationGenton, Marc, University of Geneva
local.contributor.affiliationHall, Peter, College of Physical and Mathematical Sciences, ANU
local.contributor.authoruidHall, Peter, u7801145
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor010401 - Applied Statistics
local.identifier.ariespublicationu3169606xPUB28
local.identifier.citationvolume69
local.identifier.doi10.1111/j.1467-9868.2007.00604.x
local.identifier.scopusID2-s2.0-34547837449
local.type.statusPublished Version

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