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Methods for preferential sampling in geostatistics
by
Salibian-Barrera, Matias
, Dinsdale, Daniel
in
Approximation
/ Correlation analysis
/ Function
/ Geostatistics
/ Laplace approximation
/ Monte Carlo simulation
/ Numerical methods
/ Point processes
/ Preferential sampling
/ Sampling
/ Sampling methods
/ Template model builder
2019
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Methods for preferential sampling in geostatistics
by
Salibian-Barrera, Matias
, Dinsdale, Daniel
in
Approximation
/ Correlation analysis
/ Function
/ Geostatistics
/ Laplace approximation
/ Monte Carlo simulation
/ Numerical methods
/ Point processes
/ Preferential sampling
/ Sampling
/ Sampling methods
/ Template model builder
2019
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Do you wish to request the book?
Methods for preferential sampling in geostatistics
by
Salibian-Barrera, Matias
, Dinsdale, Daniel
in
Approximation
/ Correlation analysis
/ Function
/ Geostatistics
/ Laplace approximation
/ Monte Carlo simulation
/ Numerical methods
/ Point processes
/ Preferential sampling
/ Sampling
/ Sampling methods
/ Template model builder
2019
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Journal Article
Methods for preferential sampling in geostatistics
2019
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Overview
Preferential sampling in geostatistics occurs when the locations at which observations are made may depend on the spatial process that underlines the correlation structure of the measurements. We show that previously proposed Monte Carlo estimates for the likelihood function may not be approximating the desired function. Furthermore, we argue that, for preferential sampling of moderate complexity, alternative and widely available numerical methods to approximate the likelihood function produce better results than Monte Carlo methods. We illustrate our findings on the Galicia data set analysed previously in the literature.
Publisher
Wiley,Oxford University Press
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