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G. Celeux · SciRah

Researcher profile · Semantic Scholar

G. Celeux

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G. Celeux — researcher profile on SciRah

h-index: 44
Works: 161
Citations: 16K

Most-cited papers

Deviance information criteria for missing data models
G. Celeux, F. Forbes, C. Robert, D. Titterington
2006948 citations Open access
Semantic Scholar
Combining Mixture Components for Clustering
Jean-Patrick Baudry, A. Raftery, G. Celeux, Kenneth Lo +1 more
2010Journal of Computational And Graphical Statistics374 citations Open access
Semantic Scholar
Data-based filtering for replicated high-throughput transcriptome sequencing experiments
A. Rau, M. Gallopin, G. Celeux, F. Jaffrézic
2013Bioinform.252 citations Open access
Semantic Scholar
Model-based cluster and discriminant analysis with the MIXMOD software
C. Biernacki, G. Celeux, G. Govaert, F. Langrognet
2006Computational Statistics & Data Analysis207 citations Open access
Semantic Scholar
Selecting hidden Markov model state number with cross-validated likelihood
G. Celeux, Jean-Baptiste Durand
2008Computational statistics (Zeitschrift)180 citations Open access
Semantic Scholar
Estimation and selection for the latent block model on categorical data
Christine Keribin, V. Brault, G. Celeux, G. Govaert
2015Statistics and computing138 citations Open access
Semantic Scholar
Variable selection in model-based clustering: A general variable role modeling
Cathy Maugis, G. Celeux, M. Martin-Magniette
2009Computational Statistics & Data Analysis114 citations Open access
Semantic Scholar
Rmixmod: The R Package of the Model-Based Unsupervised, Supervised and Semi-Supervised Classification Mixmod Library
R. Lebret, Serge Iovleff, F. Langrognet, C. Biernacki +2 more
2015112 citations Open access
Semantic Scholar
EM for mixtures
Jean-Patrick Baudry, G. Celeux
2015Statistics and computing82 citations
Semantic Scholar
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models
A. Rau, Cathy Maugis-Rabusseau, M. Martin-Magniette, G. Celeux
2015Bioinform.77 citations Open access
Semantic Scholar
Designing a Bayesian network for preventive maintenance from expert opinions in a rapid and reliable way
G. Celeux, Franck Corset, A. Lannoy, B. Ricard
2006Reliability Engineering & System Safety71 citations Open access
Semantic Scholar
Exact and Monte Carlo calculations of integrated likelihoods for the latent class model
C. Biernacki, G. Celeux, G. Govaert
201069 citations Open access
Semantic Scholar
Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA
C. Bouveyron, G. Celeux, S. Girard
2011Pattern Recognition Letters68 citations
Semantic Scholar
Model Selection for Mixture Models – Perspectives and Strategies
G. Celeux, S. Frühwirth-Schnatter, C. Robert
2018Handbook of Mixture Analysis62 citations Open access
Semantic Scholar
Regularization in regression: comparing Bayesian and frequentist methods in a poorly informative situation
G. Celeux, Mohammed El Anbari, J. Marin, C. Robert
201059 citations Open access
Semantic Scholar
Variable selection in model-based discriminant analysis
Cathy Maugis, G. Celeux, M. Martin-Magniette
2011Journal of Multivariate Analysis53 citations Open access
Semantic Scholar
Iterated importance sampling in missing data problems
G. Celeux, J. Marin, C. Robert
2006Computational Statistics & Data Analysis45 citations Open access
Semantic Scholar
Variable selection in model-based clustering and discriminant analysis with a regularization approach
G. Celeux, C. Maugis-Rabusseau, M. Sedki
2017Advances in Data Analysis and Classification44 citations Open access
Semantic Scholar
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering
G. Celeux, M. Martin-Magniette, C. Maugis-Rabusseau, A. Raftery
2013Journal de la Societe francaise de statistique44 citations
Semantic Scholar
Probabilistic modeling of S–N curves
R. Fouchereau, G. Celeux, P. Pamphile
201439 citations Open access
Semantic Scholar
A predictive deviance criterion for selecting a generative model in semi-supervised classification
V. Vandewalle, C. Biernacki, G. Celeux, G. Govaert
2013Computational Statistics & Data Analysis36 citations Open access
Semantic Scholar
Selection of generative models in classification
Guillaume Bouchard, G. Celeux
2006IEEE Transactions on Pattern Analysis and Machine Intelligence36 citations
Semantic Scholar
Model selection for the binary latent block model
Christine Keribin, V. Brault, G. Celeux, G. Govaert
201232 citations
Semantic Scholar
Approximate Bayesian computation methods
G. Celeux
2012Statistics and computing27 citations Open access
Semantic Scholar
Identifying intrinsic variability in multivariate systems through linearized inverse methods
G. Celeux, Agnès Grimaud, Y. Lefebvre, E. Derocquigny
201027 citations Open access
Semantic Scholar
Estimation d'un modèle à blocs latents par l'algorithme SEM
Christine Keribin, G. Govaert, G. Celeux
201027 citations
Semantic Scholar
Non linear methods for inverse statistical problems
P. Barbillon, G. Celeux, Agnès Grimaud, Y. Lefebvre +1 more
201126 citations
Semantic Scholar
Computational Solutions for Bayesian Inference in Mixture Models
C. Robert, G. Celeux, K. Kamary, G. Malsiner-Walli +1 more
2018Handbook of Mixture Analysis21 citations Open access
Semantic Scholar
Model-based clustering with missing not at random data
Aude Sportisse, Matthieu Marbac, Fabien Laporte, G. Celeux +3 more
2021Statistics and computing19 citations Open access
Semantic Scholar
Model-Based Clustering and Classification for Data Science: With Applications in R
C. Bouveyron, G. Celeux, Brendan Murphy, A. Raftery
201918 citations
Semantic Scholar
BAYESIAN INFERENCE FOR INVERSE PROBLEMS OCCURRING IN UNCERTAINTY ANALYSIS
Shuai Fu, G. Celeux, N. Bousquet, M. Couplet
201515 citations Open access
Semantic Scholar
Enhancing the selection of a model-based clustering with external categorical variables
Jean-Patrick Baudry, Margarida G. M. S. Cardoso, G. Celeux, Maria José Amorim +1 more
2014Advances in Data Analysis and Classification15 citations Open access
Semantic Scholar
Intrinsic Dimension Estimation by Maximum Likelihood in Probabilistic PCA
C. Bouveyron, G. Celeux, S. Girard
201015 citations
Semantic Scholar
Selecting Models Focussing on the Modeller’s Purpose
Jean-Patrick Baudry, G. Celeux, J. Marin
200813 citations
Semantic Scholar
Latent Class Models for Categorical Data
G. Celeux, G. Govaert
201510 citations
Semantic Scholar
A Framework for Feature Selection in Clustering, Journal of the American Statistical Association, 105, 713―726
G. Celeux, M. Martin-Magniette, Cathy Maugis, A. Raftery
201110 citations
Semantic Scholar
The Latent Block Model: a useful model for high dimensional data
Christine Keribin, G. Celeux, Valerie Robert
20178 citations
Semantic Scholar
Towards an objective team efficiency rate in basketball
G. Celeux, Valerie Robert
20156 citations
Semantic Scholar
Enhancing the selection of a model-based clustering with external qualitative variables
Jean-Patrick Baudry, Margarida G. M. S. Cardoso, G. Celeux, M. Amorim +1 more
20126 citations
Semantic Scholar
Letter to the editor: ''{A} framework for feature selection in clustering''
G. Celeux, M. Martin-Magniette, Cathy Maugis, A. Raftery
20116 citations
Semantic Scholar
Discrete Discriminant Analysis: The Performance of Combining Models by a Hierarchical Coupling Approach
A. Ferreira, G. Celeux, H. Bacelar-Nicolau
20096 citations
Semantic Scholar
Hierarchical Clustering of Spectral Images with Spatial Constraints for the Rapid Processing of Large and Heterogeneous Data Sets
G. Celeux, S. Cohen, Agnès Grimaud, P. Guériau
2022SN Computer Science5 citations Open access
Semantic Scholar
Data Clustering: Theory Algorithms and Applications by Gan, G., Chaoqun, M. A., and Wu, J
G. Celeux
20085 citations
Semantic Scholar
Evolutionary Latent Class Clustering of Qualitative Data
Damien Tessier, Marc Schoenauer, C. Biernacki, G. Celeux +1 more
20065 citations
Semantic Scholar
Estimation and selection for the latent block model on categorical data
Christine Keribin, V. Brault, G. Celeux, G. Govaert
2014Statistics and computing4 citations Open access
Semantic Scholar
Some discussions on the Read Paper "Beyond subjective and objective in statistics" by A. Gelman and C. Hennig
G. Celeux, Jack Jewson, J. Josse, J. Marin +1 more
20173 citations
Semantic Scholar
Empirical Bayes approaches to PageRank type algorithms for rating scientific journals
J. Foulley, G. Celeux, J. Josse
20173 citations
Semantic Scholar
Identifiability of a Switching Markov State-Space Model
Jana Kalawoun, P. Pamphile, G. Celeux
20153 citations
Semantic Scholar
EM Methods for Finite Mixtures
G. Celeux
2019Handbook of Mixture Analysis2 citations
Semantic Scholar
A penalty criterion for score forecasting in soccer
J. Foulley, G. Celeux
20182 citations
Semantic Scholar

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