According to our database1, Mohammed Sedki authored at least 5 papers between 2012 and 2019.
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VarSelLCM: an R/C++ package for variable selection in model-based clustering of mixed-data with missing values.
Variable selection in model-based clustering and discriminant analysis with a regularization approach.
Adv. Data Analysis and Classification, 2019
Variable selection for model-based clustering using the integrated complete-data likelihood.
Statistics and Computing, 2017
A family of block-wise one-factor distributions for modeling high-dimensional binary data.
Computational Statistics & Data Analysis, 2017
Optimal parallelization of a sequential approximate Bayesian computation algorithm.
Proceedings of the Winter Simulation Conference, 2012