A computational framework for infinite-dimensional Bayesian inverse problems, part II: Stochastic Newton mcmc with application to ice sheet flow inverse problems

Mathematics

• Stochastics 100%
• Bayesian 100%
• Markov Chain Monte Carlo Method 66%
• Markov Chain Monte Carlo 33%
• Posteriori 33%
• Posterior Pdf 33%
• Gaussian Distribution 16%
• Partial Differential Equation 16%
• Covariance 16%
• Numerical Solution 16%
• Probability Density Function 16%
• Discretization 16%
• Parameter Space 16%
• Proposal Density 16%
• Bayesian Inference 16%
• Low-Rank Approximation 16%
• Posterior Distribution 16%
• Covariance Operator 16%

Keyphrases

• Mcmc 100%
• Stochastic Newton 100%
• Independence Sampler 33%
• High-dimensional Probability 16%
• Synthetic Ice 16%