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

Stefano Castruccio, Marc G. Genton

Research output: Contribution to journalArticlepeer-review

21 Scopus citations

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.
Original languageEnglish (US)
Pages (from-to)48-55
Number of pages8
JournalStat
Volume3
Issue number1
DOIs
StatePublished - Mar 13 2014

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