Nonstationary cross-covariance models for multivariate processes on a globe

@inproceedings{Jun2009NonstationaryCM,
  title={Nonstationary cross-covariance models for multivariate processes on a globe},
  author={Mikyoung Jun},
  year={2009}
}
In geophysical and environmental problems, it is common to have multiple variables of interest measured at the same location and time. These multiple variables typically have dependence over space (and/or time). As a consequence, there is a growing interest in developing models for multivariate spatial processes, in particular, the cross-covariance models. On the other hand, many data sets these days cover a large portion of the Earth such as satellite data, which require valid covariance… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 27 references

Relationships between precipitation and surface temperature

  • K. E. Trenberth, D. J. Shea
  • Geophys . Res . Lett .
  • 2005
Highly Influential
12 Excerpts

Flow adaptive moderation of spurious ensemble correlations and its use in ensemble-based data assimilation,

  • C. H. Bishop, D. Hodyss
  • Quarterly Journal of the Royal Meteorological…
  • 2007
Highly Influential
7 Excerpts

A Bayesian coregionalization approach for multivariate pollutant data,

  • A. M. Schmidt, A. E. Gelfand
  • Journal of Geophysical Research,
  • 2003
Highly Influential
4 Excerpts

Testing the covariance structure of multivariate random fields,

  • B. Li, M. G. Genton, M. Sherman
  • Biometrika
  • 2008
Highly Influential
1 Excerpt

Multivariate spatial modeling for geostatistical data using convolved covariance functions,

  • A. Majumdar, A. E. Gelfand
  • Mathematical Geology,
  • 2007
Highly Influential
3 Excerpts

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