| Model-based clustering of Gaussian copulas for mixed data M Marbac, C Biernacki, V Vandewalle Communications in Statistics-Theory and Methods 46 (23), 11635-11656, 2017 | 44 | 2017 |
| Variable selection for model-based clustering using the integrated complete-data likelihood M Marbac, M Sedki Statistics and Computing 27 (4), 1049-1063, 2017 | 44 | 2017 |
| VarSelLCM: an R/C++ package for variable selection in model-based clustering of mixed-data with missing values M Marbac, M Sedki Bioinformatics, 2018 | 30 | 2018 |
| Clusters of diet, physical activity, television exposure and sleep habits and their association with adiposity in preschool children: the EDEN mother-child cohort C Saldanha-Gomes, M Marbac, M Sedki, M Cornet, S Plancoulaine, ... International Journal of Behavioral Nutrition and Physical Activity 17 (1), 1-13, 2020 | 19 | 2020 |
| Model‐based clustering for spatiotemporal data on air quality monitoring ASM Cheam, M Marbac, PD McNicholas Environmetrics 28 (3), e2437, 2017 | 19 | 2017 |
| Model-based clustering for conditionally correlated categorical data M Marbac, C Biernacki, V Vandewalle Journal of Classification 32 (2), 145-175, 2015 | 15 | 2015 |
| A tractable multi-partitions clustering M Marbac, V Vandewalle Computational Statistics & Data Analysis 132, 167-179, 2019 | 14 | 2019 |
| Variable selection for mixed data clustering: Application in human population genomics M Marbac, M Sedki, T Patin Journal of Classification, 1-19, 2019 | 12* | 2019 |
| Latent class model with conditional dependency per modes to cluster categorical data M Marbac, C Biernacki, V Vandewalle Advances in Data Analysis and Classification 10 (2), 183-207, 2016 | 10* | 2016 |
| Patterns of cleaning product exposures using a novel clustering approach for data with correlated variables M Marbac, M Sedki, MC Boutron-Ruault, O Dumas Annals of epidemiology 28 (8), 563-569. e6, 2018 | 6 | 2018 |
| Bayesian model selection in logistic regression for the detection of adverse drug reactions M Marbac, P Tubert‐Bitter, M Sedki Biometrical Journal 58 (6), 1376-1389, 2016 | 6 | 2016 |
| A family of block-wise one-factor distributions for modeling high-dimensional binary data M Marbac, M Sedki Computational Statistics & Data Analysis 114, 130-145, 2017 | 2 | 2017 |
| Model-based clustering for categorical and mixed data sets M Marbac-Lourdelle | 2 | 2014 |
| Dimension Reduction in Clustering M Marbac, PD McNicholas Wiley StatsRef: Statistics Reference Online, 1-7, 2014 | 2 | 2014 |
| Wilks’ theorem for semiparametric regressions with weakly dependent data MDR de Chaumaray, M Marbac, V Patilea The Annals of Statistics 49 (6), 3228-3254, 2021 | 1 | 2021 |
| Mixture of hidden Markov models for accelerometer data MDR de Chaumaray, M Marbac, F Navarro The Annals of Applied Statistics 14 (4), 1834-1855, 2020 | 1 | 2020 |
| Clustering Data with Nonignorable Missingness using Semi-Parametric Mixture Models MDR de Chaumaray, M Marbac arXiv preprint arXiv:2009.07662, 2020 | 1 | 2020 |
| Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering C Biernacki, M Marbac, V Vandewalle Journal of Classification, 1-29, 2020 | 1 | 2020 |
| Model-based Clustering with Missing Not At Random Data A Sportisse, C Biernacki, C Boyer, J Josse, MM Lourdelle, G Celeux, ... arXiv preprint arXiv:2112.10425, 2021 | | 2021 |
| Full Model Estimation for Non-Parametric Multivariate Finite Mixture Models MDR de Chaumaray, M Marbac arXiv preprint arXiv:2112.05684, 2021 | | 2021 |
Mohammed Sedkimaître de conférences, Université Paris-SaclayAdresse e-mail validée de universite-paris-saclay.fr
