447 citations · 2.5k across the 63 of their papers we have counts for
3 papers · 1 filter
The Ensemble Kalman Filter for Inverse Problems
Marco A. Iglesias, Kody J. H. Law, Andrew M. Stuart
The Ensemble Kalman filter (EnKF) was introduced by Evensen in 1994 [10] as a novel method for data assimilation: state estimation for noisily observed time-dependent problems. Sin…
Accuracy and Stability of Filters for Dissipative PDEs
C. E. A. Brett, K. F. Lam, K. J. H. Law +3
Data assimilation methodologies are designed to incorporate noisy observations of a physical system into an underlying model in order to infer the properties of the state of the sy…
Stability of Filters for the Navier-Stokes Equation
C. E. A. Brett, K. F. Lam, K. J. H. Law +3
Data assimilation methodologies are designed to incorporate noisy observations of a physical system into an underlying model in order to infer the properties of the state of the sy…