By Abhijit Chowdhary and others

We study the sensitivity of infinite-dimensional Bayesian linear inverse problems governed by partial differential equations (PDEs) with respect to modeling uncertainties. In particular, we consider derivative-based sensitivity analysis of the information gain, as measured by the Kullback-Leibler divergence from the posterior to the prior distribution. To facilitate this, we develop... Show more

May 16, 2024

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Sensitivity Analysis of the Information Gain in Infinite-Dimensional Bayesian Linear Inverse Problems

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