Statistics – Applications
Scientist
Statistics
Applications
Scientist
Clustering based on Random Graph Model embedding Vertex Features
Defining a robust biological prior from Pathway Analysis to drive Network Inference
Inferring Multiple Graphical Structures
Inferring sparse Gaussian graphical models with latent structure
New consistent and asymptotically normal estimators for random graph mixture models
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