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The 9th International Geostatistics Congress, Oslo., Oslo : Norway (2012)
Simulation of a Gaussian random vector: A propagative version of the Gibbs sampler.
Christian Lantuéjoul ( ) 1, Nicolas Desassis 1
(18/06/2012)

Starting from the Gibbs sampler, an iterative algorithm is designed for simulating a gaussian random vector, that requires neither the inversion nor the factorization of a covariance matrix, without resting on a markovian assumption. A brief survey is given of the various ways to implement it. An example illustrates its feasibility, and a theoretical result is stated about its rate of convergence.
1 :  Centre de Géosciences (GEOSCIENCES)
MINES ParisTech - École nationale supérieure des mines de Paris
Mathématiques/Statistiques

Statistiques/Théorie