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dc.contributor.authorMa, Chunsheng
dc.date.accessioned2013-07-23T17:08:30Z
dc.date.available2013-07-23T17:08:30Z
dc.date.issued2004-01
dc.identifier.citationMa, C. (2004). "Spatial autoregression and related spatio-temporal models." Journal of Multivariate Analysis 88(1): 152-162.en_US
dc.identifier.issn0047-259X
dc.identifier.issn1095-7243
dc.identifier.urihttp://hdl.handle.net/10057/6028
dc.identifier.urihttp://dx.doi.org/10.1016/S0047-259X(03)00067-8
dc.descriptionClick on the DOI link to access the article (may not be free)en_US
dc.description.abstractWe propose a spatial autoregressive randomfield of order p on the spatial domain Rd for pX2 in this paper, whose univariate margins are the continuous-time autoregression of order p on the real line, and introduce a class of semiparametric spatio-temporal covariance models stationary in space with the spatial autoregressive margin.en_US
dc.language.isoen_USen_US
dc.publisherElsevier Inc.en_US
dc.relation.ispartofseriesJournal of Multivariate Analysis;v.88 no.1
dc.subjectIntrinsically stationaryen_US
dc.subjectCovariance
dc.subjectIsotropic
dc.subjectLong-range dependence
dc.subjectNorm (Mathematics)
dc.subjectSpectral density
dc.subjectStationary
dc.subjectVariogram
dc.titleSpatial autoregression and related spatio-temporal modelsen_US
dc.typeArticleen_US
dc.description.versionPeer reviewed
dc.rights.holderCopyright © 2004, Elsevier


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