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Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping.
Taylor-Rodriguez, Daniel; Finley, Andrew O; Datta, Abhirup; Babcock, Chad; Andersen, Hans-Erik; Cook, Bruce D; Morton, Douglas C; Banerjee, Sudipto.
Afiliação
  • Taylor-Rodriguez D; Department of Mathematics & Statistics, Portland State University, Portland, OR.
  • Finley AO; Department of Forestry, Michigan State University, East Lansing, MI.
  • Datta A; Department of Biostatistics, Johns Hopkins University, Baltimore, MA.
  • Babcock C; School of Environmental and Forest Sciences, University of Washington, Seattle, WA.
  • Andersen HE; USDA Forest Service Pacific Northwest Research Station, Seattle, WA.
  • Cook BD; Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD.
  • Morton DC; Biospheric Sciences Laboratory, NASA Goddard Space Flight Center, Greenbelt, MD.
  • Banerjee S; Department of Biostatistics, University of California Los Angeles, Los Angeles, CA.
Stat Sin ; 29: 1155-1180, 2019.
Article em En | MEDLINE | ID: mdl-33311955
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article