Gaussian predictive process models for large spatial data sets

  1. Sudipto Banerjee1,
  2. Alan E. Gelfand2,
  3. Andrew O. Finley3,
  4. Huiyan Sang4

Article first published online: 9 JUL 2008

DOI: 10.1111/j.1467-9868.2008.00663.x

Issue

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Journal of the Royal Statistical Society: Series B (Statistical Methodology)

Volume 70, Issue 4, pages 825–848, September 2008

Additional Information

How to Cite

Banerjee, S., Gelfand, A. E., Finley, A. O. and Sang, H. (2008), Gaussian predictive process models for large spatial data sets. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 70: 825–848. doi: 10.1111/j.1467-9868.2008.00663.x

Author Information

  1. 1

    University of Minnesota, Minneapolis, USA

  2. 2

    Duke University, Durham, USA

  3. 3

    Michigan State University, East Lansing, USA

  4. 4

    Duke University, Durham, USA

*Sudipto Banerjee, Division of Biostatistics, School of Public Health, University of Minnesota, Mayo Mail Code 303, Minneapolis, MN 55455-0392, USA. E-mail: sudiptob@biostat.umn.edu

Publication History

  1. Issue published online: 9 JUL 2008
  2. Article first published online: 9 JUL 2008
  3. [Received April 2007. Final revision February 2008]

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