Follow
Catherine Matias
Catherine Matias
CNRS, Université Pierre et Marie Curie, COSTNET CA15109
Verified email at math.cnrs.fr
Title
Cited by
Cited by
Year
Identifiability of parameters in latent structure models with many observed variables
ES Allman, C Matias, JA Rhodes
6702009
Statistical clustering of temporal networks through a dynamic stochastic block model
C Matias, V Miele
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2017
3582017
PPanGGOLiN: depicting microbial diversity via a partitioned pangenome graph
G Gautreau, A Bazin, M Gachet, R Planel, L Burlot, M Dubois, A Perrin, ...
PLoS computational biology 16 (3), e1007732, 2020
1802020
Asymptotics of the maximum likelihood estimator for general hidden Markov models
R Douc, C Matias
1552001
Modeling heterogeneity in random graphs through latent space models: a selective review
C Matias, S Robin
ESAIM: Proceedings and Surveys 47, 55-74, 2014
1122014
A semiparametric extension of the stochastic block model for longitudinal networks
C Matias, T Rebafka, F Villers
Biometrika 105 (3), 665-680, 2018
962018
Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model
C Butucea, C Matias
Bernoulli 11 (2), 309-340, 2005
882005
Inferring sparse Gaussian graphical models with latent structure
C Ambroise, J Chiquet, C Matias
772009
New consistent and asymptotically normal parameter estimates for random-graph mixture models
C Ambroise, C Matias
Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2012
662012
Simone: Statistical inference for modular networks
J Chiquet, A Smith, G Grasseau, C Matias, C Ambroise
Bioinformatics 25 (3), 417-418, 2009
642009
Parameter identifiability in a class of random graph mixture models
ES Allman, C Matias, JA Rhodes
Journal of Statistical Planning and Inference 141 (5), 1719-1736, 2011
612011
Cophylogeny reconstruction via an approximate Bayesian computation
C Baudet, B Donati, B Sinaimeri, P Crescenzi, C Gautier, C Matias, ...
Systematic Biology 64 (3), 416-431, 2015
482015
Convergence of the groups posterior distribution in latent or stochastic block models
M Mariadassou, C Matias
482015
Semiparametric deconvolution with unknown noise variance
C Matias
ESAIM: Probability and Statistics 6, 271-292, 2002
372002
Network motifs: mean and variance for the count
C Matias, S Schbath, E Birmelé, JJ Daudin, S Robin
REVSTAT-Statistical Journal 4 (1), 31–51-31–51, 2006
342006
Nine quick tips for analyzing network data
V Miele, C Matias, S Robin, S Dray
PLOS Computational Biology 15 (12), e1007434, 2019
312019
Adaptivity in convolution models with partially known noise distribution
C Butucea, C Matias, C Pouet
302008
Properties of the stochastic approximation EM algorithm with mini-batch sampling
E Kuhn, C Matias, T Rebafka
Statistics and Computing 30 (6), 1725-1739, 2020
282020
Maximum likelihood estimator consistency for a ballistic random walk in a parametric random environment
F Comets, M Falconnet, O Loukianov, D Loukianova, C Matias
Stochastic Processes and their Applications 124 (1), 268-288, 2014
262014
On efficient estimators of the proportion of true null hypotheses in a multiple testing setup
VH Nguyen, C Matias
Scandinavian Journal of Statistics 41 (4), 1167-1194, 2014
242014
The system can't perform the operation now. Try again later.
Articles 1–20