Beyond axial symmetry: An improved class of models for global data

Handle URI:
http://hdl.handle.net/10754/594063
Title:
Beyond axial symmetry: An improved class of models for global data
Authors:
Castruccio, Stefano; Genton, Marc G. ( 0000-0001-6467-2998 )
Abstract:
An important class of models for data on a spherical domain, called axially symmetric, assumes stationarity across longitudes but not across latitudes. The main aim of this work is to introduce a new and more flexible class of models by relaxing the assumption of longitudinal stationarity in the context of regularly gridded climate model output. In this investigation, two other related topics are discussed: the lack of fit of an axially symmetric parametric model compared with a non-parametric model and to longitudinally reversible processes, an important subclass of axially symmetric models.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Citation:
Castruccio S, Genton MG (2014) Beyond axial symmetry: An improved class of models for global data. Stat 3: 48–55. Available: http://dx.doi.org/10.1002/sta4.44.
Publisher:
Wiley-Blackwell
Journal:
Stat
Issue Date:
Mar-2014
DOI:
10.1002/sta4.44
Type:
Article
ISSN:
2049-1573
Appears in Collections:
Articles; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorCastruccio, Stefanoen
dc.contributor.authorGenton, Marc G.en
dc.date.accessioned2016-01-19T13:20:39Zen
dc.date.available2016-01-19T13:20:39Zen
dc.date.issued2014-03en
dc.identifier.citationCastruccio S, Genton MG (2014) Beyond axial symmetry: An improved class of models for global data. Stat 3: 48–55. Available: http://dx.doi.org/10.1002/sta4.44.en
dc.identifier.issn2049-1573en
dc.identifier.doi10.1002/sta4.44en
dc.identifier.urihttp://hdl.handle.net/10754/594063en
dc.description.abstractAn important class of models for data on a spherical domain, called axially symmetric, assumes stationarity across longitudes but not across latitudes. The main aim of this work is to introduce a new and more flexible class of models by relaxing the assumption of longitudinal stationarity in the context of regularly gridded climate model output. In this investigation, two other related topics are discussed: the lack of fit of an axially symmetric parametric model compared with a non-parametric model and to longitudinally reversible processes, an important subclass of axially symmetric models.en
dc.publisherWiley-Blackwellen
dc.subjectAxial symmetryen
dc.subjectLongitudinal reversibilityen
dc.subjectMassive dataseten
dc.subjectNon-stationarityen
dc.subjectSphereen
dc.titleBeyond axial symmetry: An improved class of models for global dataen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.identifier.journalStaten
kaust.authorCastruccio, Stefanoen
kaust.authorGenton, Marc G.en
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