79 citations · 93 across the 8 of their papers we have counts for
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stat.ME2015
A Family of Blockwise One-Factor Distributions for Modelling High-Dimensional Binary Data
Matthieu Marbac, Mohammed Sedki
We introduce a new family of one factor distributions for high-dimensional binary data. The model provides an explicit probability for each event, thus avoiding the numeric approxi…
stat.AP2015
Bayesian model selection in logistic regression for the detection of adverse drug reactions
Matthieu Marbac, Pascale Tubert-Bitter, Mohammed Sedki
Motivation: Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, exploring such databases requires statist…
stat.ME2015★ 79 cited
Variable selection for model-based clustering using the integrated complete-data likelihood
Marbac Matthieu, Sedki Mohammed
Variable selection in cluster analysis is important yet challenging. It can be achieved by regularization methods, which realize a trade-off between the clustering accuracy and the…