140 citations · 363 across the 28 of their papers we have counts for
3 papers · 1 filter
Block modelling in dynamic networks with non-homogeneous Poisson processes and exact ICL
Marco Corneli, Pierre Latouche, Fabrice Rossi
We develop a model in which interactions between nodes of a dynamic network are counted by non homogeneous Poisson processes. In a block modelling perspective, nodes belong to hidd…
Choosing the number of groups in a latent stochastic block model for dynamic networks
Riccardo Rastelli, Pierre Latouche, Nial Friel
Latent stochastic block models are flexible statistical models that are widely used in social network analysis. In recent years, efforts have been made to extend these models to te…
Exact Dimensionality Selection for Bayesian PCA
Charles Bouveyron, Pierre Latouche, Pierre-Alexandre Mattei
We present a Bayesian model selection approach to estimate the intrinsic dimensionality of a high-dimensional dataset. To this end, we introduce a novel formulation of the probabil…