Blind source separation of noisy mixtures using a semi-parametric approach with application to heavy-tailed signals. - Mohamed Sahmoudi; Karim Abed-Meraim; Marc Lavielle; Estelle Kuhn; Philippe Ciblat (EUSIPCO, 2005)

Maximum likelihood estimation in nonlinear mixed effects models. - Estelle Kuhn; Marc Lavielle (Comput. Stat. Data Anal., 2005)

Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models. - Stéphanie Allassonnière; Estelle Kuhn; Alain Trouvé; Yali Amit (ICASSP (5), 2006)

On a convergent stochastic estimation algorithm for frailty models. - Estelle Kuhn; Charles El-Nouty (Stat. Comput., 2013)

Stochastic Expectation Maximization algorithms for estimation in latent variable models: developments, analysis and applications. - Estelle Kuhn (2015)

Convergent stochastic Expectation Maximization algorithm with efficient sampling in high dimension. Application to deformable template model estimation. - Stéphanie Allassonnière; Estelle Kuhn (Comput. Stat. Data Anal., 2015)

Convergence of the Wang-Landau algorithm. - Gersende Fort; Benjamin Jourdain; Estelle Kuhn; Tony Lelièvre; Gabriel Stoltz (Math. Comput., 2015)

Bayesian Mixed Effect Atlas Estimation with a Diffeomorphic Deformation Model. - Stéphanie Allassonnière; Stanley Durrleman; Estelle Kuhn (SIAM J. Imaging Sci., 2015)

Asymptotic distribution of likelihood ratio test statistics for variance components in nonlinear mixed effects models. - Charlotte Baey; Paul-Henry Cournède; Estelle Kuhn (Comput. Stat. Data Anal., 2019)

Properties of the stochastic approximation EM algorithm with mini-batch sampling. - Estelle Kuhn; Catherine Matias; Tabea Rebafka (Stat. Comput., 2020)

Efficient preconditioned stochastic gradient descent for estimation in latent variable models. - Charlotte Baey; Maud Delattre; Estelle Kuhn; Jean-Benoist Leger; Sarah Lemler (ICML, 2023)

varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models. - Charlotte Baey; Estelle Kuhn (J. Stat. Softw., 2023)

Estimation of ratios of normalizing constants using stochastic approximation: the SARIS algorithm. - Tom Guédon; Charlotte Baey; Estelle Kuhn (Stat. Comput., 2025)