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Uncertainty in spatially predicted covariates: is it ignorable?


  • Scott D. Foster
  • Hideyasu Shimadzu
  • Ross Darnell


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Suggested Citation

  • Scott D. Foster & Hideyasu Shimadzu & Ross Darnell, 2012. "Uncertainty in spatially predicted covariates: is it ignorable?," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 61(4), pages 637-652, August.
  • Handle: RePEc:bla:jorssc:v:61:y:2012:i:4:p:637-652
    DOI: j.1467-9876.2011.01030.x

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    References listed on IDEAS

    1. Claudia Tebaldi & Bruno Sansó, 2009. "Joint projections of temperature and precipitation change from multiple climate models: a hierarchical Bayesian approach," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 172(1), pages 83-106.
    2. Higdon, Dave & Gattiker, James & Williams, Brian & Rightley, Maria, 2008. "Computer Model Calibration Using High-Dimensional Output," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 570-583, June.
    3. Marc C. Kennedy & Anthony O'Hagan, 2001. "Bayesian calibration of computer models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(3), pages 425-464.
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    Cited by:

    1. Stoklosa, Jakub & Dann, Peter & Huggins, Richard M. & Hwang, Wen-Han, 2016. "Estimation of survival and capture probabilities in open population capture–recapture models when covariates are subject to measurement error," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 74-86.

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