activity
20132026
most citedScalable and efficient algorithms for the propagation of uncertainty from data through inference to prediction for large-scale problems, with application to flow of the Antarctic ice sheet

171 citations · 211 across the 10 of their papers we have counts for

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Showing 2013Show all

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stat.ME2013

A computational framework for infinite-dimensional Bayesian inverse problems: Part II. Stochastic Newton MCMC with application to ice sheet flow inverse problems

Noemi Petra, James Martin, Georg Stadler +1

We address the numerical solution of infinite-dimensional inverse problems in the framework of Bayesian inference. In the Part I companion to this paper (arXiv.org:1308.1313), we c…

stat.CO2013

A-optimal design of experiments for infinite-dimensional Bayesian linear inverse problems with regularized -sparsification

Alen Alexanderian, Noemi Petra, Georg Stadler +1

We present an efficient method for computing A-optimal experimental designs for infinite-dimensional Bayesian linear inverse problems governed by partial differential equations (PD…