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Training Image Free High-Order Stochastic Simulation Based on Aggregated Kernel Statistics |
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| Authors: | Yao Lingqing Dimitrakopoulos Roussos Gamache Michel |
| Affiliation: | 1.Department of Mathematics and Industrial Engineering, Polytechnique Montréal, Montreal, QC, H3T 1J4, Canada ;2.COSMO–Stochastic Mine Planning Laboratory, Department of Mining and Materials Engineering, McGill University, 3450 University Street, Montreal, QC, H3A 2A7, Canada ; |
| Abstract: | Mathematical Geosciences - A training image free, high-order sequential simulation method is proposed herein, which is based on the efficient inference of high-order spatial statistics from the... |
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