| Extreme value copulas and max-stable processes M Ribatet, M Sedki Journal de la Société Française de Statistique 154 (1), 138-150, 2013 | 64 | 2013 |
| Variable selection for model-based clustering using the integrated complete-data likelihood M Marbac, M Sedki Statistics and Computing, 1-15, 2016 | 36 | 2016 |
| Consistency of Adaptive Importance Sampling and Recycling Schemes JM Marin, P Pudlo, M Sedki Bernoulli 25 (3), 1977-1998, 2012 | 31* | 2012 |
| Variable selection in model-based clustering and discriminant analysis with a regularization approach G Celeux, C Maugis-Rabusseau, M Sedki Advances in Data Analysis and Classification, 2018 | 27 | 2018 |
| VarSelLCM: an R/C++ package for variable selection in model-based clustering of mixed-data with missing values M Marbac, M Sedki Bioinformatics 35 (7), 1255-1257, 2019 | 16 | 2019 |
| Efficient learning in ABC algorithms M Sedki, P Pudlo, JM Marin, CP Robert, JM Cornuet arXiv preprint arXiv:1210.1388, 2012 | 14 | 2012 |
| Contribution to the discussion of Fearnhead and Prangle (2012). Constructing summary statistics for approximate Bayesian computation: Semi-automatic approximate Bayesian … MA Sedki, P Pudlo Journal of the Royal Statistical Society: Series B 74, 466-467, 2012 | 11 | 2012 |
| 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 | 8 | 2020 |
| Variable selection for mixed data clustering: application in human population genomics M Marbac, M Sedki, T Patin Journal of Classification 37 (1), 124-142, 2020 | 7 | 2020 |
| Consistency of adaptive importance sampling and recycling schemes JM Marin, P Pudlo, M Sedki Bernoulli 25 (3), 1977-1998, 2019 | 6 | 2019 |
| 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 |
| SelvarMix: Regularization for variable selection in model-based clustering and discriminant analysis M Sedki, G Celeux, C Maugis-Rabusseau R package version 1 (1), 2017 | 4 | 2017 |
| Variable selection for mixed data clustering: a model-based approach M Marbac, M Sedki https://arxiv.org/abs/1703.02293, 2017 | 4 | 2017 |
| Optimal parallelization of a sequential approximate Bayesian computation algorithm JM Marin, P Pudlo, M Sedki Proceedings of the 2012 Winter Simulation Conference (WSC), 1-7, 2012 | 3 | 2012 |
| 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 |
| SelvarMix: AR package for variable selection in model-based clustering and discriminant analysis with a regularization approach M Sedki, G Celeux, C Maugis INRIA Techical report, 2014 | 2 | 2014 |
| Some discussions of D. Fearnhead and D. Prangle's Read Paper" Constructing summary statistics for approximate Bayesian computation: semi-automatic approximate Bayesian computation" C Andrieu, S Barthelmé, N Chopin, J Cornebise, A Doucet, M Girolami, ... arXiv preprint arXiv:1201.1314, 2012 | 2 | 2012 |
| Household cleaning and poor asthma control among elderly women O Dumas, A Bédard, M Marbac, M Sedki, S Temam, S Chanoine, G Severi, ... The Journal of Allergy and Clinical Immunology: In Practice 9 (6), 2358-2365. e4, 2021 | 1 | 2021 |
| Simultaneous semi-parametric estimation of clustering and regression M Marbac, M Sedki, C Biernacki, V Vandewalle arXiv preprint arXiv:2012.14159, 2020 | | 2020 |
Jean-Michel MarinProfessor of Statistics, University of MontpellierAdresse e-mail validée de umontpellier.fr
