Conditional simulation of random fields with bivariate gamma isofactorial distributions

DOI10.1007/s11004-005-5956-0zbMath1122.86307OpenAlexW2055361505MaRDI QIDQ2457904

Xavier Emery

Publication date: 23 October 2007

Published in: Mathematical Geology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11004-005-5956-0

zbMATH Keywords

Gibbs samplerGaussian random fieldsmultivariate chi-square distributiondestructuring effectmultigaussian distribution

Mathematics Subject Classification ID

Geostatistics (86A32)

Related Items (6)

Quantifying uncertainty in mineral resources by use of classification schemes and conditional simulations ⋮ On the existence of mosaic and indicator random fields with spherical, circular, and triangular variograms ⋮ Substitution random field with Gaussian and gamma distributions: theory and application to a pollution data set ⋮ Geostatistical simulation of random fields with bivariate isofactorial distributions by adding mosaic models ⋮ Reducing fluctuations in the sample variogram ⋮ Simulating large Gaussian random vectors subject to inequality constraints by Gibbs sampling

Cites Work

• Conditional simulation of non-Gaussian random functions
• Disjunctive kriging revisited. I, II.
• Change of support for diffusion-type random functions
• Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
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