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• W2095862044 abstract "In this paper, we propose a new cosimulation algorithm for simulating a primary variable using one or several secondary attributes known exhaustively on the domain. At each node of the grid to be simulated, two conditional distribution functions are inferred. The first one comes from the available conditioning data of the main attribute using, for instance, a multi-Gaussian framework. The second one is the distribution function of the main attribute conditioned to the co-located value of the secondary attribute. Using a conjunction of probabilities approach, these two distribution functions are then combined into a single one from which an outcome is drawn. The paper discusses the probabilistic model underlying this approach and illustrates its performances using both synthetic and actual field data. The synthetic examples cover a range of different types of joint probability distributions inspired from relations between geophysical parameters and hydraulic parameters. The field example uses remote sensing images." @default.
• W2095862044 created "2016-06-24" @default.
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• W2095862044 date "2009-01-01" @default.
• W2095862044 modified "2023-10-18" @default.
• W2095862044 title "COLLOCATED CO-SIMULATION USING PROBABILITY AGGREGATION" @default.
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• W2095862044 hasPublicationYear "2009" @default.
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