Estimating model‐error covariances in nonlinear state‐space models using Kalman smoothing and the expectation–maximization algorithm D Dreano, P Tandeo, M Pulido, B Ait‐El‐Fquih, T Chonavel, I Hoteit Quarterly Journal of the Royal Meteorological Society 143 (705), 1877-1885, 2017 | 67 | 2017 |
An iterative ensemble Kalman filter with one-step-ahead smoothing for state-parameters estimation of contaminant transport models ME Gharamti, B Ait-El-Fquih, I Hoteit Journal of Hydrology 527, 442-457, 2015 | 60 | 2015 |
Kalman filtering in triplet Markov chains B Ait-El-Fquih, F Desbouvries IEEE Transactions on Signal Processing 54 (8), 2957-2963, 2006 | 59 | 2006 |
A two-update ensemble Kalman filter for land hydrological data assimilation with an uncertain constraint M Khaki, B Ait-El-Fquih, I Hoteit, E Forootan, J Awange, M Kuhn Journal of Hydrology 555, 447-462, 2017 | 53 | 2017 |
Towards an end-to-end analysis and prediction system for weather, climate, and Marine applications in the Red Sea I Hoteit, Y Abualnaja, S Afzal, B Ait-El-Fquih, T Akylas, C Antony, ... Bulletin of the American Meteorological Society 102 (1), E99-E122, 2021 | 43 | 2021 |
Data assimilation in oceanography: Current status and new directions I Hoteit, X Luo, M Bocquet, A Kohl, B Ait-El-Fquih New frontiers in operational oceanography, 465-512, 2018 | 43 | 2018 |
A variational Bayesian multiple particle filtering scheme for large-dimensional systems B Ait-El-Fquih, I Hoteit IEEE Transactions on Signal Processing 64 (20), 5409-5422, 2016 | 42 | 2016 |
A Bayesian consistent dual ensemble Kalman filter for state-parameter estimation in subsurface hydrology B Ait-El-Fquih, M El Gharamti, I Hoteit Hydrology and Earth System Sciences 20 (8), 3289-3307, 2016 | 39 | 2016 |
Enhanced flood forecasting through ensemble data assimilation and joint state-parameter estimation MG Ziliani, R Ghostine, B Ait-El-Fquih, MF McCabe, I Hoteit Journal of Hydrology 577, 123924, 2019 | 37 | 2019 |
Efficient kernel-based ensemble Gaussian mixture filtering B Liu, B Ait-El-Fquih, I Hoteit Monthly Weather Review 144 (2), 781-800, 2016 | 37 | 2016 |
Fast Kalman-like filtering for large-dimensional linear and Gaussian state-space models B Ait-El-Fquih, I Hoteit IEEE Transactions on Signal Processing 63 (21), 5853-5867, 2015 | 34 | 2015 |
Direct, prediction-and smoothing-based Kalman and particle filter algorithms F Desbouvries, Y Petetin, B Ait-El-Fquih Signal processing 91 (8), 2064-2077, 2011 | 32 | 2011 |
On Bayesian fixed-interval smoothing algorithms B Ait-El-Fquih, F Desbouvries IEEE Transactions on Automatic Control 53 (10), 2437-2442, 2008 | 32 | 2008 |
Unsupervised ensemble Kalman filtering with an uncertain constraint for land hydrological data assimilation M Khaki, B Ait-El-Fquih, I Hoteit, E Forootan, J Awange, M Kuhn Journal of hydrology 564, 175-190, 2018 | 29 | 2018 |
A fixed-lag particle smoother for blind SISO equalization of time-varying channels A Guimarães, B Ait-El-Fquih, F Desbouvries IEEE transactions on wireless communications 9 (2), 512-516, 2010 | 23 | 2010 |
Unsupervised signal restoration in partially observed Markov chains BA El Fquih, F Desbouvries 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 16 | 2006 |
A reduced-order variational Bayesian approach for efficient subsurface imaging D Urozayev, B Ait-El-Fquih, I Hoteit, D Peter Geophysical Journal International 229 (2), 838-852, 2022 | 15 | 2022 |
Calibrating land hydrological models and enhancing their forecasting skills using an ensemble Kalman filter with one-step-ahead smoothing M Khaki, B Ait-El-Fquih, I Hoteit Journal of hydrology 584, 124708, 2020 | 15 | 2020 |
Parametric Bayesian estimation of point-like pollution sources of groundwater layers B Ait-El-Fquih, JF Giovannelli, N Paul, A Girard, I Hoteit Signal Processing 168, 107339, 2020 | 15 | 2020 |
Ensemble Kalman filtering with one-step-ahead smoothing NF Raboudi, B Ait-El-Fquih, I Hoteit Monthly Weather Review 146 (2), 561-581, 2018 | 15 | 2018 |