Plurigaussian modeling of geological domains based on the truncation of non-stationary Gaussian random fields-Reference-Cited by-同舟云学术

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Plurigaussian modeling of geological domains based on the truncation of non-stationary Gaussian random fields

Published:2016-12-02 Issue:4 Volume:31 Page:893-913
ISSN:1436-3240
Container-title:Stochastic Environmental Research and Risk Assessment
language:en
Short-container-title:Stoch Environ Res Risk Assess

Author:

Madani Nasser,Emery Xavier

Funder

Chilean Commission for Scientific and Technological Research

Publisher

Springer Science and Business Media LLC

Subject

General Environmental Science,Safety, Risk, Reliability and Quality,Water Science and Technology,Environmental Chemistry,Environmental Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00477-016-1365-9.pdf

Reference34 articles.

1. Armstrong M, Galli A, Beucher H, Le Loc’h G, Renard D, Renard B, Eschard R, Geffroy F (2011) Plurigaussian simulations in geosciences. Springer, Berlin

2. Arroyo D, Emery X (2015) Simulation of intrinsic random fields of order k with Gaussian generalized increments by Gibbs sampling. Math Geosci 47(8):955–974

3. Arroyo D, Emery X (2016) Spectral simulation of vector random fields with stationary Gaussian increments in d-dimensional Euclidean spaces. Stoch Environ Res Risk Assess. doi: 10.1007/s00477-016-1225-7

4. Arroyo D, Emery X, Peláez M (2012) An enhanced Gibbs sampler algorithm for non-conditional simulation of Gaussian random vectors. Comput Geosci 46:138–148

5. Bernstein DS (2009) Matrix mathematics. Princeton University Press, Princeton

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