← All authors Christophe Biernacki École nationale supérieure de techniques avancées Bretagne (per OpenAlex) · ORCID · OpenAlex
33 papers in scope · 32 published · 1 on the econ.EM arXiv · 1,550 citations · h-index 16 (over the papers listed here)
Papers (1 of 33)
Model-based clustering with missing not at random data
published 2024 · Statistics and Computing · 7 citations · first circulated 2019
with Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, Julie Josse
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach
published 2023 · Statistics and Computing
with Filippo Antonazzo, Christine Keribin
Parameter-wise co-clustering for high-dimensional data
published 2022 · Computational Statistics · 3 citations · first circulated 2018
with Michael P. B. Gallaugher, Paul D. McNicholas
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models
published 2022 · Proceedings of the AAAI Conference on Artificial Intelligence · 3 citations
with Luxin Zhang, Pascal Germain, Yacine Kessaci
Simultaneous Semiparametric Estimation of Clustering and Regression
published 2021 · Journal of Computational and Graphical Statistics
Reject inference methods in credit scoring
published 2021 · Journal of Applied Statistics · 17 citations
Special issue on “Innovations on model based clustering and classification”
published 2020 · Advances in Data Analysis and Classification · 2 citations
with Luis Ángel García-Escudero, Salvatore Ingrassia
ordinalClust: An R Package to Analyze Ordinal Data
published 2020 · The R Journal · 6 citations
with Margot Selosse, Julien Jacques
Model-based co-clustering for mixed type data
published 2019 · Computational Statistics & Data Analysis · 25 citations
with Margot Selosse, Julien Jacques
working paper 2019 · arXiv · 1 citations
Unifying data units and models in (co-)clustering
published 2018 · Advances in Data Analysis and Classification · 2 citations
with Alexandre Lourme
Model-based co-clustering for ordinal data
published 2018 · Computational Statistics & Data Analysis · 1 citations
with Julien Jacques
Latent class model with conditional dependency per modes to cluster categorical data
published 2016 · Advances in Data Analysis and Classification · 3 citations
Variable Clustering in High-Dimensional Linear Regression: The R Package clere
published 2016 · The R Journal · 3 citations
with Loïc Yengo, Julien Jacques, Mickaël Canouil
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm
published 2015 · Statistics and Computing · 34 citations
with Julien Jacques
Rmixmod : The R Package of the Model-Based Unsupervised, Supervised, and Semi-Supervised Classification Mixmod Library
published 2015 · Journal of Statistical Software · 103 citations
with Rémi Lebret, Serge Iovleff, Florent Langrognet, Gilles Celeux, Gérard Govaert
Model-based clustering for multivariate partial ranking data
published 2014 · Journal of Statistical Planning and Inference · 32 citations · first circulated 2013
with Julien Jacques, Quentin Grimonprez
Rankcluster: An R Package for Clustering Multivariate Partial Rankings
published 2014 · The R Journal · 17 citations
with Julien Jacques, Quentin Grimonprez
Mixture of Gaussians for distance estimation with missing data
published 2013 · Neurocomputing · 65 citations
Stable and visualizable Gaussian parsimonious clustering models
published 2013 · Statistics and Computing · 16 citations
with Alexandre Lourme
A predictive deviance criterion for selecting a generative model in semi-supervised classification
published 2013 · Computational Statistics & Data Analysis · 32 citations · first circulated 2012
A generative model for rank data based on insertion sort algorithm
published 2012 · Computational Statistics & Data Analysis · 39 citations
with Julien Jacques
Simultaneous Gaussian model-based clustering for samples of multiple origins
published 2012 · Computational Statistics · 5 citations
with Alexandre Lourme
Exact and Monte Carlo calculations of integrated likelihoods for the latent class model
published 2010 · Journal of Statistical Planning and Inference · 60 citations
with Gilles Celeux, G. Govaert
Extension of model-based classification for binary data when training and test populations differ
published 2010 · Journal of Applied Statistics · 10 citations
with Julien Jacques
Degeneracy in the Maximum Likelihood Estimation of Univariate Gaussian Mixtures for Grouped Data and Behaviour of the EM Algorithm
published 2007 · Scandinavian Journal of Statistics · 13 citations
Model-based cluster and discriminant analysis with the MIXMOD software
published 2006 · Computational Statistics & Data Analysis · 177 citations · first circulated 2005
with Gilles Celeux, Gérard Govaert, Florent Langrognet, Gerard Govaert
Testing for a Global Maximum of the Likelihood
published 2005 · Journal of Computational and Graphical Statistics · 10 citations
Initializing EM using the properties of its trajectories in Gaussian mixtures
published 2004 · Statistics and Computing · 23 citations
Degeneracy in the maximum likelihood estimation of univariate Gaussian mixtures with EM
published 2003 · Statistics & Probability Letters · 49 citations
with Stéphane Chrétien
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
published 2003 · Computational Statistics & Data Analysis · 646 citations
with Gilles Celeux, Gérard Govaert
A Generalized Discriminant Rule When Training Population and Test Population Differ on Their Descriptive Parameters
published 2002 · Biometrics · 19 citations
with Farid Beninel, Vincent Bretagnolle
Choosing models in model-based clustering and discriminant analysis
published 1999 · Journal of Statistical Computation and Simulation · 127 citations
with Gérard Govaert
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