107 citations · 386 across the 22 of their papers we have counts for
5 papers · 1 filter
A Bayesian Consistent Dual Ensemble Kalman Filter for State-Parameter Estimation in Subsurface Hydrology
Boujemaa Ait-El-Fquih, Mohamad El Gharamti, Ibrahim Hoteit
Ensemble Kalman filtering (EnKF) is an efficient approach to addressing uncertainties in subsurface groundwater models. The EnKF sequentially integrates field data into simulation…
Particle Kalman Filtering: A Nonlinear Bayesian Framework for Ensemble Kalman Filters
Ibrahim Hoteit, Xiaodong Luo, Dinh-Tuan Pham
This paper investigates an approximation scheme of the optimal nonlinear Bayesian filter based on the Gaussian mixture representation of the state probability distribution function…
Robust ensemble filtering and its relation to covariance inflation in the ensemble Kalman filter
Xiaodong Luo, Ibrahim Hoteit
We propose a robust ensemble filtering scheme based on the filtering theory. The optimal filter is derived by minimizing the supremum (or maximum) of a pr…
Scaled unscented transform Gaussian sum filter: theory and application
Xiaodong Luo, Irene M. Moroz, Ibrahim Hoteit
In this work we consider the state estimation problem in nonlinear/non-Gaussian systems. We introduce a framework, called the scaled unscented transform Gaussian sum filter (SUT-GS…
Reply to "Comment on 'Ensemble Kalman filter with the unscented transform'"
Xiaodong Luo, Irene M. Moroz, Ibrahim Hoteit
This is a reply to the comment of Dr Sakov on the work "Ensemble Kalman filter with the unscented transform" of Luo and Moroz (2009).