Catherine Matias
Catherine Matias
CNRS, Université Pierre et Marie Curie, COSTNET CA15109
Verified email at math.cnrs.fr
TitleCited byYear
Identifiability of parameters in latent structure models with many observed variables
ES Allman, C Matias, JA Rhodes
The Annals of Statistics 37 (6A), 3099-3132, 2009
3372009
Asymptotics of the maximum likelihood estimator for general hidden Markov models
R Douc, C Matias
Bernoulli 7 (3), 381-420, 2001
1292001
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
1062017
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
752005
Inferring sparse Gaussian graphical models with latent structure
C Ambroise, J Chiquet, C Matias
Electronic Journal of Statistics 3, 205-238, 2009
542009
Modeling heterogeneity in random graphs through latent space models: a selective review
C Matias, S Robin
ESAIM: Proceedings and Surveys 47, 55-74, 2014
502014
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
482012
Simone: Statistical inference for modular networks
J Chiquet, A Smith, G Grasseau, C Matias, C Ambroise
Bioinformatics 25 (3), 417-418, 2008
482008
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
322011
Semiparametric deconvolution with unknown noise variance
C Matias
ESAIM: Probability and Statistics 6, 271-292, 2002
312002
Convergence of the groups posterior distribution in latent or stochastic block models
M Mariadassou, C Matias
Bernoulli 21 (1), 537-573, 2015
282015
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, 2014
242014
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, 2006
242006
Adaptivity in convolution models with partially known noise distribution
C Butucea, C Matias, C Pouet
Electronic Journal of Statistics 2, 897-915, 2008
232008
A semiparametric extension of the stochastic block model for longitudinal networks
C Matias, T Rebafka, F Villers
Biometrika 105 (3), 665-680, 2018
212018
Adaptive goodness-of-fit testing from indirect observations
C Butucea, C Matias, C Pouet
Annales de l'IHP Probabilités et statistiques 45 (2), 352-372, 2009
202009
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
182014
Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter of a ballistic random walk in a random environment
M Falconnet, D Loukianova, C Matias
Mathematical Methods of Statistics 23 (1), 1-19, 2014
152014
Parameter Estimation in Pair‐hidden Markov Models
ANA ARRIBAS‐GIL, E Gassiat, C Matias
Scandinavian journal of statistics 33 (4), 651-671, 2006
152006
Exact adaptive estimation of the shape of a periodic function with unknown period corrupted by white noise
I Castillo, C Lévy-Leduc, C Matias
Mathematical methods of statistics 15 (2), 146-175, 2006
142006
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Articles 1–20