A spatial model for multivariate lattice data.

In this article, we develop Markov random field models for multivariate lattice data. Specific attention is given to building models that incorporate general forms of the spatial correlations and cross-correlations between variables at different sites. The methodology is applied to a problem in envi...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal of Econometrics Vol. 140; no. 1; pp. 226 - 260
Autores principales: Sain, Stephan R., Cressie, Noel
Formato: Artículo
Publicado: Elsevier Science September 2007
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=511346048&site=ehost-live
header:
  @attributes:
    shortDbName: ssf
    uiTerm: 511346048
    longDbName: Social Sciences Full Text (H.W. Wilson)
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        03044076
        ECM
      jtl: Journal of Econometrics
      issn: 03044076
      maglogo: N
    pubinfo:
      dt: September 2007
      vid: 140
      iid: 1
      pid: 1004
      pub: Elsevier Science
    artinfo:
      ui:
        511346048
        10.1016/j.jeconom.2006.09.010
      ppf: 226
      ppct: 34
      formats:
      tig:
        atl: A spatial model for multivariate lattice data.
      aug:
        au:
          Sain, Stephan R.
          Cressie, Noel
      su:
        Lattice theory
        Markov processes
        Spatial analysis (Statistics)
        Environmental justice
      sug:
        subj:
          Lattice theory
          Markov processes
          Spatial analysis (Statistics)
          Environmental justice
      ab: In this article, we develop Markov random field models for multivariate lattice data. Specific attention is given to building models that incorporate general forms of the spatial correlations and cross-correlations between variables at different sites. The methodology is applied to a problem in environmental equity. Using a Bayesian hierarchical model that is multivariate in form, we examine the racial distribution of residents of southern Louisiana in relation to the location of sites listed with the U.S. Environmental Protection Agency's Toxic Release Inventory. Copyright (c) 2007 Elsevier B.V.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: N
    holdings:
      @attributes:
        islocal: N