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Inverse Problems in Science and Engineering Volume 18, 2010 - Issue 1: Proceedings of the 4th International Conference on Inverse Problems: Modelling and Simulation, May 26th–30th, 2008, held in Fethiye, Turkey
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Original Articles

Bayesian inversion by parallel interacting Markov chains

Thomas RomaryCentre de Géosciences, Equipe Géostatistique, Ecole des Mines de Paris, 35 rue Saint-Honoré 77300, Fontainebleau, France
Pages 111-130 | Received 15 Oct 2008, Accepted 19 Feb 2009, Published online: 22 Sep 2009

Citations (5)

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Read on this site (1)

Célio Maschio & Denis J. Schiozer. (2018) A new methodology for Bayesian history matching using parallel interacting Markov chain Monte Carlo. Inverse Problems in Science and Engineering 26:4, pages 498-529.
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Articles from other publishers (4)

Alexis Bottero, Alexandrine Gesret, Thomas Romary, Mark Noble & Christophe Maisons. (2016) Stochastic seismic tomography by interacting Markov chains. Geophysical Journal International 207:1, pages 374-392.
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A. Gesret, N. Desassis, M. Noble, T. Romary & C. Maisons. (2015) Propagation of the velocity model uncertainties to the seismic event location. Geophysical Journal International 200:1, pages 52-66.
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Morteza Khodabakhshi & Behnam Jafarpour. (2014) Adaptive Conditioning of Multiple-Point Statistical Facies Simulation to Flow Data with Probability Maps. Mathematical Geosciences 46:5, pages 573-595.
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Thomas Romary, Chantal de Fouquet & Laure Malherbe. (2011) Sampling design for air quality measurement surveys: An optimization approach. Atmospheric Environment 45:21, pages 3613-3620.
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