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https://link.springer.com/article/10.1007%2Fs11004-008-9178-0
Jul 13, 2008 · Block Simulation of Multiple Correlated Variables. Authors; Authors and affiliations ... This paper presents a method for the conditional simulation of a non-Gaussian vector random field directly on block support. The method is derived from the group sequential simulation paradigm and the direct block simulation algorithm which leads to the ...Cited by: 107
https://www.researchgate.net/publication/43458582_Block_Simulation_of_Multiple_Correlated_Variables
Boucher and Dimitrakopoulos (2009) have extended the idea for direct block simulation of multiple correlated variables, independently simulating the MAF factors for each of the blocks inside the ...
https://link.springer.com/article/10.1007/s11004-012-9402-9
May 05, 2012 · An alternative simulation method to simulate directly at the block-support size is proposed by Godoy and extended to the joint simulation of several correlated variables using MAF by Boucher and Dimitrakopoulos (2009, 2007), in an algorithm termed dbmafsim. The method minimizes the information stored by retaining only the block values, a ...Cited by: 28
https://www.academia.edu/403579/Block_Simulation_of_Multiple_Correlated_Variables
Block Simulation of Multiple Correlated Variables
https://link.springer.com/content/pdf/10.1007%2Fs11004-012-9402-9.pdf
simulation at the block-support scale. An alternative simulation method to simulate directly at the block-support size is proposed by Godoy (2002) and extended to the joint simulation of several correlated variables using MAF by Boucher and Dimi-trakopoulos (2009, 2007), in an algorithm termed dbmafsim. The method minimizesCited by: 28
https://link.springer.com/article/10.1007/s11053-018-9379-2
Apr 26, 2018 · This paper presents a multistage method that addresses these issues and allows the multivariate simulation of cross-correlated variables with complex features directly on block-support, conditionally to the information of drill hole data at a quasi-point support.Cited by: 4
https://www.sciencedirect.com/science/article/pii/S0013795216304203
Dec 19, 2016 · Simulation of weathered profiles coupled with multivariate block-support simulation of the Puma nickel laterite deposit, Brazil ... Multivariate block-support simulation of grades and dry-tonnage factor. ... This paper showed the practical aspects of an efficient framework for joint simulation of multiple correlated variables, based on minimum ...Cited by: 1
https://stackoverflow.com/questions/46808859/simulating-multiple-regression-data-with-fixed-r2-how-to-incorporate-correlated
Browse other questions tagged r simulation linear-regression or ask your own question. ... Simulating multiple regression data with fixed R2: How to incorporate correlated variables (not all equal)? Related. 1267. How to sort a dataframe by multiple column(s) 1160.
https://dl.acm.org/citation.cfm?id=2016348
Change of support is a common issue in the geosciences when the volumetric support of the available data is smaller than that of the blocks on which numerical modeling is required. In this paper, we present two algorithms for the direct block-support simulation of cross-correlated random fields that are monotonic transforms of stationary ...Cited by: 6
http://www.fce.vutbr.cz/STM/vorechovsky.m/papers/9z.pdf
Correlated Random Variables in Probabilistic Simulation Miroslav Vořechovský, MSc. Drahomír Novák, Assoc. Prof. DrSc. Summary A new efficient technique to impose the statistical correlation when using Monte Carlo type method for statistical analysis of computational problems is proposed.
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