557 citations · 1.9k across the 20 of their papers we have counts for
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stat.CO2020
Learning Stochastic Closures Using Ensemble Kalman Inversion
Tapio Schneider, Andrew M. Stuart, Jin-Long Wu
Although the governing equations of many systems, when derived from first principles, may be viewed as known, it is often too expensive to numerically simulate all the interactions…
stat.CO2020★ 140 cited
Calibrate, Emulate, Sample
Emmet Cleary, Alfredo Garbuno-Inigo, Shiwei Lan +2
Many parameter estimation problems arising in applications are best cast in the framework of Bayesian inversion. This allows not only for an estimate of the parameters, but also fo…