Christophe Ambroise
Christophe Ambroise
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Variational Bayesian inference and complexity control for stochastic block models
Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies
Defining a robust biological prior from pathway analysis to drive network inference
Inferring multiple graphical structures
New consistent and asymptotically normal parameter estimates for random-graph mixture models
Overlapping stochastic block models with application to the french political blogosphere
Clustering based on random graph model embedding vertex features
New consistent and asymptotically normal estimators for random graph mixture models
Strategies for online inference of model-based clustering in large and growing networks
Weighted-LASSO for structured network inference from time course data
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