Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models.

@article{Fuentes2005ModelEA,
  title={Model evaluation and spatial interpolation by Bayesian combination of observations with outputs from numerical models.},
  author={Montserrat Fuentes and Adrian E. Raftery},
  journal={Biometrics},
  year={2005},
  volume={61 1},
  pages={36-45}
}
Constructing maps of dry deposition pollution levels is vital for air quality management, and presents statistical problems typical of many environmental and spatial applications. Ideally, such maps would be based on a dense network of monitoring stations, but this does not exist. Instead, there are two main sources of information for dry deposition levels in the United States: one is pollution measurements at a sparse set of about 50 monitoring stations called CASTNet, and the other is the… CONTINUE READING
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Combining incompatible spatial data

  • C. A. Gotway, L. J. Young
  • Journal of the American Statistical Association
  • 2002
Highly Influential
4 Excerpts

A Bayesian space - time analysis of acid deposition data combined from two monitoring networks

  • M. K. Cowles, D. L. Zimmerman
  • Journal of Geophysical Research
  • 2003
1 Excerpt

Revised May 2004

  • Received August
  • Accepted May 2004.
  • 2003
1 Excerpt

A new class of nonstationary models

  • M. Fuentes, R. Smith
  • 2001
1 Excerpt

A new high frequency kriging approach for nonstationary environmental processes

  • M. Fuentes
  • Environmetrics
  • 2001
1 Excerpt

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