Bayesian Non-linear Statistical Inverse Problems by Richard Nickl

Bayesian Non-linear Statistical Inverse Problems

Richard Nickl

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Bayesian methods based on Gaussian process priors are frequently used in statistical inverse problems arising with partial differential equations (PDEs). They can be implemented by Markov chain Monte Carlo (MCMC) algorithms. The underlying statist...

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