A comparison between Markov approximations and other methods for large spatial data sets

Author:

Bolin David,Lindgren Finn

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference29 articles.

1. Gaussian predictive process models for large spatial data sets;Banerjee;J. Roy. Statist. Soc. Ser. B Stat. Methodol.,2008

2. Blackbox kriging: spatial prediction without specifying variogram models;Barry;J. Agr. Biol. Environ. Statist.,1996

3. Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping;Bolin;Ann. Appl. Statist.,2011

4. Introduction to Wavelets and Wavelet Transforms: A Primer;Burrus,1988

5. Geostatistics, modeling spatial uncertainty;Chiles,1999

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