Random-Effects Models for Longitudinal Data, Biometrics, vol.38, issue.4, p.963, 1982. ,
Nonlinear Mixed Effects Models for Repeated Measures Data, Biometrics, vol.46, issue.3, p.673, 1990. ,
Toward a Comprehensive Framework for the Spatiotemporal Statistical Analysis of Longitudinal Shape Data, International Journal of Computer Vision, vol.103, issue.1, pp.22-59, 2012. ,
URL : https://hal.archives-ouvertes.fr/hal-00813825
Time-Warped Geodesic Regression, Medical Image Computing and Computer-Assisted Intervention -MICCAI 2014, pp.105-112, 2014. ,
Disentangling normal aging from Alzheimers disease in structural magnetic resonance images, Neurobiology of Aging, vol.36, pp.42-52, 2015. ,
An efficient parallel algorithm for hierarchical geodesic models in diffeomorphisms, 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI), 2014. ,
A Hierarchical Geodesic Model for Diffeomorphic Longitudinal Shape Analysis, Lecture Notes in Computer Science, pp.560-571 ,
Learning distributions of shape trajectories from longitudinal datasets: a hierarchical model on a manifold of diffeomorphisms, CVPR 2018 -Computer Vision and Pattern Recognition, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01744538
A Mixed-Effects Model with Time Reparametrization for Longitudinal Univariate Manifold-Valued Data, Lecture Notes in Computer Science, pp.564-575, 2015. ,
URL : https://hal.archives-ouvertes.fr/hal-01163213
Rejoinder on: Missing data methods in longitudinal studies: a review, TEST, vol.18, issue.1, pp.68-75, 2009. ,
Coupling a stochastic approximation version of em with a mcmc procedure, vol.8, 2004. ,