Publications (18)
Parameter identifiability in a class of random graph mixture models
Elizabeth S. Allman, Catherine Matias, John A. Rhodes
Inferring sparse Gaussian graphical models with latent structure
Christophe Ambroise, Julien Chiquet, Catherine Matias
Maximum likelihood estimator consistency for ballistic random walk in a parametric random environment
Francis Comets, Mikael Falconnet, Oleg Loukianov +2
On efficient estimators of the proportion of true null hypotheses in a multiple testing setup
Van Hanh Nguyen, Catherine Matias
New consistent and asymptotically normal estimators for random graph mixture models
Christophe Ambroise, Catherine Matias
A time warping approach to multiple sequence alignment
Ana Arribas-Gil, Catherine Matias
Revealing the hidden structure of dynamic ecological networks
Vincent Miele, Catherine Matias
Adaptive procedures in convolution models with known or partially known noise distribution
Cristina Butucea, Catherine Matias, Christophe Pouet
Modeling heterogeneity in random graphs through latent space models: a selective review
Catherine Matias, Stéphane Robin
Adaptivity in convolution models with partially known noise distribution
Cristina Butucea, Catherine Matias, Christophe Pouet
Statistical clustering of temporal networks through a dynamic stochastic block model
Catherine Matias, Vincent Miele
Identifiability of parameters in latent structure models with many observed variables
Elizabeth S. Allman, Catherine Matias, John A. Rhodes
Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter of a ballistic random walk in a random environment
Mikael Falconnet, Dasha Loukianova, Catherine Matias
Parametric estimation of a one-dimensional ballistic random walk in a Markov environment
Pierre Andreoletti, Dasha Loukianova, Catherine Matias
A context dependent pair hidden Markov model for statistical alignment
Ana Arribas-Gil, Catherine Matias
Parameter estimation in pair hidden Markov models
Ana Arribas-Gil, Elisabeth Gassiat, Catherine Matias
Convergence of the groups posterior distribution in latent or stochastic block models
Mahendra Mariadassou, Catherine Matias
Nonparametric estimation of the density of the alternative hypothesis in a multiple testing setup. Application to local false discovery rate estimation
Van Hanh Nguyen, Catherine Matias