109 citations · 443 across the 45 of their papers we have counts for
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physics.data-an2018★ 7 cited
Parameter estimation with data-driven nonparametric likelihood functions
Shixiao W. Jiang, John Harlim
In this paper, we consider a surrogate modeling approach using a data-driven nonparametric likelihood function constructed on a manifold on which the data lie (or to which they are…
physics.data-an2018
Data-Driven Computational Methods: Parameter and Operator Estimations (Chapter 1)
John Harlim
Modern scientific computational methods are undergoing a transformative change; big data and statistical learning methods now have the potential to outperform the classical first-p…