Efficient Bayesian inference of subsurface flow models using nested sampling and sparse polynomial chaos surrogates

Mathematics

• Polynomial 100%
• Bayesian Inference 100%
• Subsurface 100%
• Bayesian 66%
• Number 66%
• Markov Chain Monte Carlo 66%
• Response Surface 66%
• Probability Density Function 33%
• Posterior Distribution 33%
• Model Selection 33%
• Markov Chain Monte Carlo Method 33%
• Curse of Dimensionality 33%
• Random Walk Markov Chain 33%
• Approximates 33%
• Monte Carlo Algorithm 33%

Keyphrases

• Polynomial Chaos Surrogate 100%
• Dimension Effect 16%
• Non-intrusive Polynomial Chaos 16%
• Bayesian Sampling 16%
• Discrete Representation 16%
• Two-stage Sampling 16%
• Curse of Dimensionality 16%