A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems - researchr publication related

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Noemi Petra, James Martin, Georg Stadler, Omar Ghattas. A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems, Part II: Stochastic Newton MCMC with Application to Ice Sheet Flow Inverse Problems. SIAM J. Scientific Computing, 36(4), 2014. [doi]

The following publications are possibly variants of this publication:

A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic InversionTan Bui-Thanh, Omar Ghattas, James Martin, Georg Stadler. siamsc, 35(6), 2013. [doi]

A Stochastic Newton MCMC Method for Large-Scale Statistical Inverse Problems with Application to Seismic InversionJames Martin, Lucas C. Wilcox, Carsten Burstedde, Omar Ghattas. siamsc, 34(3), 2012. [doi]

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