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Bayesian inference is used extensively to quantify the uncertainty in an inferred field given the measurement of a related field when the two are linked by a mathematical model.
MCMC using Hamiltonian dynamics
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Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems
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