Conditional Simulation of Multi-Type Non Stationary Markov Object Models Respecting Specified Proportions

Author:

Allard D.,Froidevaux R.,Biver P.

Publisher

Springer Science and Business Media LLC

Subject

Earth and Planetary Sciences (miscellaneous),Mathematics (miscellaneous),Earth and Planetary Sciences (miscellaneous),Mathematics (miscellaneous)

Reference24 articles.

1. Benito García-Morales, M., 2003, Non stationnarité dans les modèles de type Boléen: application à la simulation d'unités sédimentaires: PhD Thesis, Ecole Nationale Supérieure des Mines de Paris, Centre de Géostatistique, 205 p.

2. Brooks, S., and Roberts, G., 1998, Assessing convergence of Markov Chain Monte-Carlo algorithms: Statistics and Computing, v. 8, p. 319–335.

3. Carle, S. F., and Fogg, G. E., 1996, Transition probability-based indicator geostatistics: Math. Geol., v. 28, no. 4, p. 453–476.

4. Gelman, A., and Rubin, D. B., 1992, Inference from iterative simulations using multiple sequences (with discussion): Stat. Sci., v. 7, p. 457–511.

5. Gelman, A., 1996, Inference and monitoring convergence, in Gilks, W. R., Richardson, S., and Spiegelhalter, D. J., eds., Markov Chain Monte Carlo in practice: Chapman & Hall, London, p. 131–144.

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