Spectral methods for nonstationary spatial processes

@inproceedings{Fuentes2002SpectralMF,
  title={Spectral methods for nonstationary spatial processes},
  author={Montserrat Fuentes},
  year={2002}
}
We propose a nonstationary periodogram and various parametric approaches for estimating the spectral density of a nonstationary spatial process. We also study the asymptotic properties of the proposed estimators via shrinking asymptotics, assuming the distance between neighbouring observations tends to zero as the size of the observation region grows without bound. With this type of asymptotic model we can uniquely determine the spectral density, avoiding the aliasing problem. We also present a… CONTINUE READING
66 Citations
3 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 66 extracted citations

References

Publications referenced by this paper.
Showing 1-3 of 3 references

Local prediction of a spatio - temporal process with an application to wet sulfate deposition

  • A. M. J
  • J . Am . Statist . Assoc .
  • 1995

Maximum likelihood estimation of models for residual covariance in spatial regression

  • J. M. B
  • Biometrika
  • 1984

Statistical estimation of polynomial generalized covariance functions and hydrologic applications

  • J. N.
  • Water Resour . Res .
  • 1983

Similar Papers

Loading similar papers…