Extreme value copulas and max-stable processes M Ribatet, M Sedki Journal de la Société Française de Statistique 154 (1), 138-150, 2013 | 71 | 2013 |
Variable selection for model-based clustering using the integrated complete-data likelihood M Marbac, M Sedki Statistics and Computing, 1-15, 2016 | 56 | 2016 |
Consistency of Adaptive Importance Sampling and Recycling Schemes JM Marin, P Pudlo, M Sedki Bernoulli 25 (3), 1977-1998, 2012 | 47* | 2012 |
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 | 33 | 2019 |
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 | 33 | 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 | 25 | 2020 |
Variable selection for mixed data clustering: application in human population genomics M Marbac, M Sedki, T Patin Journal of Classification 37, 124-142, 2020 | 18 | 2020 |
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 |
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 | 9 | 2021 |
Variable selection for mixed data clustering: a model-based approach M Marbac, M Sedki https://arxiv.org/abs/1703.02293, 2017 | 9 | 2017 |
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 | 8 | 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 | 8 | 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 | 5 | 2017 |
SelvarMix: AR package for variable selection in model-based clustering and discriminant analysis with a regularization approach M Sedki, G Celeux, C Maugis-Rabusseau INRIA Techical report, 2014 | 4 | 2014 |
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 | 3 | 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 |
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 |
Simultaneous Semiparametric Estimation of Clustering and Regression M Marbac, M Sedki, C Biernacki, V Vandewalle Journal of Computational and Graphical Statistics 31 (2), 477-485, 2022 | 1 | 2022 |
Using a self-attention architecture to automate valence categorization of French teenagers' free descriptions of their family relationships. A proof of concept. M Sedki, N Vidal, P Roux, C Barry, M Speranza, B Falissard, ... medRxiv, 2023.01. 16.23284557, 2023 | | 2023 |