3 papers
stat.CO2019
missSBM: An R Package for Handling Missing Values in the Stochastic Block Model
Pierre Barbillon, Julien Chiquet, Timothée Tabouy
The Stochastic Block Model (SBM) is a popular probabilistic model for random graphs. It is commonly used for clustering network data by aggregating nodes that share similar connect…
math.ST2019
Consistency and Asymptotic Normality of Stochastic Block Models Estimators from Sampled Data
Mahendra Mariadassou, Timothée Tabouy
Statistical analysis of network is an active research area and the literature counts a lot of papers concerned with network models and statistical analysis of networks. However, ve…
stat.ME2017
Variational Inference for Stochastic Block Models from Sampled Data
Timothée Tabouy, Pierre Barbillon, Julien Chiquet
This paper deals with non-observed dyads during the sampling of a network and consecutive issues in the inference of the Stochastic Block Model (SBM). We review sampling designs an…