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

Mathematics

• Markov Chain Monte Carlo 66%
• Samples 50%
• Probability Density Function 33%
• Bayesian 33%
• Response Surface 33%
• Algorithm 33%
• Number 33%
• Computational 16%
• Posterior Distribution 16%
• Bayesian Inference 16%
• Model Selection 16%
• Markov Chain Monte Carlo Method 16%
• Curse of Dimensionality 16%
• Random Walk Markov Chain 16%
• Approximates 16%

Earth and Planetary Sciences

• Polynomial 50%
• Sample 50%
• Chaos 50%
• Calibration 33%
• Subsurface Flow 33%
• Sampling 33%
• Algorithms 33%
• Simulation 16%
• Region 16%
• Set 16%
• Focusing 16%
• Representation 16%

Computer Science

• Nested Sampling 100%
• Sampling Algorithm 50%
• Flow Model 33%
• Response Surface 33%
• Probability Density Function 16%
• Posterior Distribution 16%
• Posterior Probability 16%
• Simulation 16%
• Representation 16%