6 citations · 12 across the 7 of their papers we have counts for
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stat.ME2018
Trimmed Ensemble Kalman Filter for Nonlinear and Non-Gaussian Data Assimilation Problems
Weixuan Li, W. Steven Rosenthal, Guang Lin
We study the ensemble Kalman filter (EnKF) algorithm for sequential data assimilation in a general situation, that is, for nonlinear forecast and measurement models with non-additi…
stat.ME2017★ 6 cited
On the Bayesian calibration of expensive computer models with input dependent parameters
Georgios Karagiannis, Bledar A. Konomi, Guang Lin
Computer models, aiming at simulating a complex real system, are often calibrated in the light of data to improve performance. Standard calibration methods assume that the optimal…