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Mohammed  Sedki
Mohammed Sedki
maître de conférences, Université Paris-Saclay
Verified email at universite-paris-saclay.fr - Homepage
Title
Cited by
Cited by
Year
Extreme value copulas and max-stable processes
M Ribatet, M Sedki
Journal de la Société Française de Statistique 154 (1), 138-150, 2013
782013
Variable selection for model-based clustering using the integrated complete-data likelihood
M Marbac, M Sedki
Statistics and Computing, 1-15, 2016
682016
Consistency of Adaptive Importance Sampling and Recycling Schemes
JM Marin, P Pudlo, M Sedki
Bernoulli 25 (3), 1977-1998, 2012
56*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
462019
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
372018
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, 1-13, 2020
312020
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
242020
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
172021
Efficient learning in ABC algorithms
M Sedki, P Pudlo, JM Marin, CP Robert, JM Cornuet
arXiv preprint arXiv:1210.1388, 2012
142012
Variable selection for mixed data clustering: a model-based approach
M Marbac, M Sedki
https://arxiv.org/abs/1703.02293, 2017
122017
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
102012
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
92018
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
92016
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
62014
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
52017
Machine learning-based urine peptidome analysis to predict and understand mechanisms of progression to kidney failure
ZA Massy, O Lambert, M Metzger, M Sedki, A Chaubet, B Breuil, A Jaafar, ...
Kidney International Reports 8 (3), 544-555, 2023
42023
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
42017
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
32012
Maternal diet during pregnancy with allergic and respiratory profiles in children
R Delvert, M Charles, O Dumas, B Leynaert, R Nadif, S Plancoulaine, ...
European Respiratory Journal 60 (suppl 66), 2022
22022
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
22012
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