A Semiautomatic Method for History Matching Using Sequential Monte Carlo
Autor: | Daniel E. Pagendam, David J. Nott, Christopher C. Drovandi |
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Rok vydání: | 2021 |
Předmět: |
Statistics and Probability
Matching (statistics) Computer science Stochastic modelling Applied Mathematics Markov process Markov chain Monte Carlo 010103 numerical & computational mathematics Parameter space 16. Peace & justice 01 natural sciences 010104 statistics & probability symbols.namesake Modeling and Simulation symbols Discrete Mathematics and Combinatorics 0101 mathematics Statistics Probability and Uncertainty Particle filter History matching Gaussian process Algorithm |
Zdroj: | SIAM/ASA Journal on Uncertainty Quantification. 9:1034-1063 |
ISSN: | 2166-2525 |
Popis: | The aim of the history matching method is to locate nonimplausible regions of the parameter space of complex deterministic or stochastic models by matching model outputs with data. It does this via... |
Databáze: | OpenAIRE |
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