Multivariate Normality test for colored data. - Sara El Bouch; Olivier J. J. Michel; Pierre Comon (EUSIPCO, 2022)

Joint Normality Test Via Two-Dimensional Projection. - Sara ElBouch; Olivier J. J. Michel; Pierre Comon (ICASSP, 2022)

A normality test for multivariate dependent samples. - Sara El Bouch; Olivier J. J. Michel; Pierre Comon (Signal Process., 2022)

Multivariate normality test for time-series. (Un test de normalité pour les séries temporelles multivariées). - Sara El Bouch (2022)

Joint Maximum a Posteriori - Maximum Likelihood Estimator for Linear Discrete- Time Systems. - Sara El Bouch; Eric Chaumette; Jordi Vilà-Valls (CAMSAP, 2023)

Full Slepian-Bangs Formula for Fisher Information on Lie Groups. - Sara El Bouch; Samy Labsir; Alexandre Renaux; Jordi Vilà-Valis; Eric Chaumette (IEEECONF, 2024)

An Intrinsic Modified Cramér-Rao Bound on Lie Groups. - Sara El Bouch; Samy Labsir; Alexandre Renaux; Jordi Vilà-Valls; Eric Chaumette (FUSION, 2024)

A Modified Cramér-Rao Bound for Discrete-Time Markovian Dynamic Systems. - Sara El Bouch; Jérôme Galy; Eric Chaumette; Jordi Vilà-Valls (ICASSP, 2024)

New Insights into Lower Bound for Lie Groups and their Applications. - Sara El Bouch; Samy Labsir; Alexandre Renaux; Jordi Vilà-Valls; Eric Chaumette (CISS, 2025)

Cramér-Rao Bound for Lie Group Parameter Estimation With Euclidean Observations and Unknown Covariance Matrix. - Samy Labsir; Sara El Bouch; Alexandre Renaux; Jordi Vilà-Valls; Eric Chaumette (IEEE Trans. Signal Process., 2025)

Filtering and machine learning on Riemannian manifolds and Lie groups. - Samy Labsir; Sara El Bouch; Claudio J. Bordin; Marcelo G. S. Bruno (Signal Process., 2026)