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Catherine Matias

Observed names: C Matias, C. Matias, CATHERINE MATIAS, Catherine MATIAS, MATIAS, Catherine, Matias, C, Matias, C., Matias, Catherine
Observed institutions: Lyon 1 Université, Université Paris-Sud, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, University of Alaska Fairbanks, Université de Lyon, Université Paris Cité, Laboratoire de Mathématiques d'Orsay, Sorbonne Université, Laboratoire de Biométrie et Biologie Evolutive, Laboratoire de Probabilités et Modèles Aléatoires, Délégation Paris B, Laboratoire de Mathématiques et Modélisation d'Évry, Université Paris Diderot, Institut National de la Recherche Agronomique, Laboratoire de Probabilités, Statistique et Modélisation, Université Pierre-et-Marie-Curie, Université d'Évry Val-d'Essonne
ORCID: 0000-0001-6665-2421
Observed ORCID: 0000-0001-6665-2421
OpenAlex ID: A5082187550
Identifiability of parameters in latent structure models with many observed variables
2009 · Elizabeth S. Allman, Catherine Matias, et al. · The Annals of Statistics · 515
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Statistical Clustering of Temporal Networks Through a Dynamic Stochastic Block Model
2016 · Catherine Matias, Vincent Miele · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 358
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PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph
2020 · Guillaume Gautreau, Adelme Bazin, et al. · PLoS Computational Biology · 305
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Asymptotics of the Maximum Likelihood Estimator for General Hidden Markov Models
2001 · Randal Douc, Catherine Matias · Bernoulli · 119
Modeling heterogeneity in random graphs through latent space models: a selective review
2014 · Catherine Matias, Stéphane Robin · ESAIM Proceedings and Surveys · 89
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A semiparametric extension of the stochastic block model for longitudinal networks
2018 · C Matias, T Rebafka, et al. · Biometrika · 80
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Minimax estimation of the noise level and of the deconvolution density in a semiparametric convolution model
2005 · Cristina Butucea, Catherine Matias · Bernoulli · 70
Inferring sparse Gaussian graphical models with latent structure
2009 · Christophe Ambroise, Julien Chiquet, et al. · Electronic Journal of Statistics · 66
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New Consistent and Asymptotically Normal Parameter Estimates for Random-Graph Mixture Models
2011 · Christophe Ambroise, Catherine Matias · Journal of the Royal Statistical Society Series B (Statistical Methodology) · 54
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SIMoNe: Statistical Inference for MOdular NEtworks
2008 · Julien Chiquet, Alexander Smith, et al. · Bioinformatics · 52
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Parameter identifiability in a class of random graph mixture models
2010 · Elizabeth S. Allman, Catherine Matias, et al. · Journal of Statistical Planning and Inference · 48
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Cophylogeny Reconstruction via an Approximate Bayesian Computation
2014 · C. Baudet, B. Donati, et al. · Systematic Biology · 46
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Nine quick tips for analyzing network data
2019 · Vincent Miele, Catherine Matias, et al. · PLoS Computational Biology · 36
Convergence of the groups posterior distribution in latent or stochastic block models
2015 · Mahendra Mariadassou, Catherine Matias · Bernoulli · 33
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Revealing the hidden structure of dynamic ecological networks
2017 · Vincent Miele, Catherine Matias · Royal Society Open Science · 29
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Semiparametric deconvolution with unknown noise variance
2002 · Catherine Matias · ESAIM Probability and Statistics · 29
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Properties of the stochastic approximation EM algorithm with mini-batch sampling
2020 · Estelle Kuhn, Catherine Matias, et al. · Statistics and Computing · 25
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On Efficient Estimators of the Proportion of True Null Hypotheses in a Multiple Testing Setup
2014 · Van Hanh Nguyen, Catherine Matias · Scandinavian Journal of Statistics · 20
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Quantifying the overall effect of biotic interactions on species distributions along environmental gradients
2023 · Marc Ohlmann, Catherine Matias, et al. · Ecological Modelling · 19
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Maximum likelihood estimator consistency for a ballistic random walk in a parametric random environment
2013 · Francis Comets, Mikael Falconnet, et al. · Stochastic Processes and their Applications · 19
Network Motifs: Mean and Variance for the Count
2022 · Matias, C., Schbath, S., et al. · HAL · 17
Adaptivity in convolution models with partially known noise distribution
2008 · Cristina Butucea, Catherine Matias, et al. · Electronic Journal of Statistics · 17
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Asymptotic normality and efficiency of the maximum likelihood estimator for the parameter of a ballistic random walk in a random environment
2014 · M. Falconnet, D. Loukianova, et al. · Mathematical Methods of Statistics · 16
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Adaptive goodness-of-fit testing from indirect observations
2009 · Cristina Butucea, Catherine Matias, et al. · Annales de l Institut Henri Poincaré Probabilités et Statistiques · 16
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Correction: PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph
2021 · Guillaume Gautreau, Adelme Bazin, et al. · PLoS Computational Biology · 15
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Works count: 81
Citation count: 2,241
H-index: 19
I10-index: 31
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