Simulation of lognormal random fields with varying resolution scale and local average for Darcy flow

2006 ◽  
Vol 9 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Jens P. Eberhard
Keyword(s):  
Random Fields ◽  
Darcy Flow ◽  
Lognormal Random Fields ◽  
Local Average

Simulation of Random Fields via Local Average Subdivision

1990 ◽  
Vol 116 (8) ◽  
pp. 1733-1749 ◽  
Author(s):  
Gordon A. Fenton ◽  
Erik H. Vanmarcke
Keyword(s):  
Random Fields ◽  
Local Average

Estimation and simulation of lognormal random fields

1997 ◽  
Vol 23 (1) ◽  
pp. 19-31 ◽  
Author(s):  
Yuh-Ming Lee ◽  
J.Hugh Ellis
Keyword(s):  
Random Fields ◽  
Lognormal Random Fields

Comparison of Nonlinear Spatial Correlation Models by the Influence of the Data Augmentation to the Classification Risk

2002 ◽  
Vol 7 (1) ◽  
pp. 31-42
Author(s):  
J. Šaltytė ◽  
K. Dučinskas
Keyword(s):  
Spatial Correlation ◽  
Random Fields ◽  
Data Augmentation ◽  
Gaussian Random Fields ◽  
Classification Rule ◽  
Numerical Comparison ◽  
First Order ◽  
Bayesian Risk ◽  
Correlation Models

The Bayesian classification rule used for the classification of the observations of the (second-order) stationary Gaussian random fields with different means and common factorised covariance matrices is investigated. The influence of the observed data augmentation to the Bayesian risk is examined for three different nonlinear widely applicable spatial correlation models. The explicit expression of the Bayesian risk for the classification of augmented data is derived. Numerical comparison of these models by the variability of Bayesian risk in case of the first-order neighbourhood scheme is performed.

Use of local average subdivision to characterize marine mineral reserves—A conceptual framework

CIM Journal ◽  
2015 ◽  
Vol 6 (3) ◽  
pp. 157-167
Author(s):  
T. Wambeke ◽  
M. Alvarez Grima ◽  
G. A. Fenton ◽  
J. Benndorf ◽  
A. Vervoort
Keyword(s):  
Conceptual Framework ◽  
Local Average ◽  
Mineral Reserves
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