A new methodology for bayesian history matching using parallel interacting markov chain Monte Carlo

A new methodology for bayesian history matching using parallel interacting markov chain Monte Carlo

Célio Maschio, Denis J. Schiozer

ARTIGO

Inglês

This paper presents an innovative application of a new class of parallel interacting Markov chains Monte Carlo to solve the Bayesian history matching (BHM) problem. BHM consists of sampling a posterior distribution given by the Bayesian theorem. Markov chain Monte Carlo (MCMC) is well suited for...

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A new methodology for bayesian history matching using parallel interacting markov chain Monte Carlo

Célio Maschio, Denis J. Schiozer


										

A new methodology for bayesian history matching using parallel interacting markov chain Monte Carlo

Célio Maschio, Denis J. Schiozer

    Fontes

    Inverse problems in science and engineering

    Vol. 26, no. 4 (Apr., 2018), p. 498-529