Abstract
Sequential simulation is a powerful stochastic simulation technique the theory of which relies on the ability to determine, for a given multivariate model, the conditional probability of a single random variable given any number of conditioning values. Sequential simulation can be used with those multivariate models for which these conditional probabilities can be determined. In practice, it is not enough to know how to determine the conditional probabilities, the procedure must be feasible from an operational point of view. Because it is not so in most cases, some approximations to the conditional probability distribution function are used in the implementation of the technique. These approximations are shown not to have a large impact in the performance of the technique, at least for the case in which the underlying multivariate model is multiGaussian.
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© 1994 Springer Science+Business Media Dordrecht
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Gómez-Hernández, J.J., Cassiraga, E.F. (1994). Theory and Practice of Sequential Simulation. In: Armstrong, M., Dowd, P.A. (eds) Geostatistical Simulations. Quantitative Geology and Geostatistics, vol 7. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-8267-4_10
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DOI: https://doi.org/10.1007/978-94-015-8267-4_10
Publisher Name: Springer, Dordrecht
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