4 papers
Adaptive nonparametric estimation of a component density in a two-class mixture model
Gaelle Chagny, Antoine Channarond, Van Ha Hoang +1
A two-class mixture model, where the density of one of the components is known, is considered. We address the issue of the nonparametric adaptive estimation of the unknown probabil…
On the Estimation of Latent Distances Using Graph Distances
Ery Arias-Castro, Antoine Channarond, Bruno Pelletier +1
We are given the adjacency matrix of a geometric graph and the task of recovering the latent positions. We study one of the most popular approaches which consists in using the grap…
Fast and Consistent Algorithm for the Latent Block Model
Vincent Brault, Antoine Channarond
The latent block model is used to simultaneously rank the rows and columns of a matrix to reveal a block structure. The algorithms used for estimation are often time consuming. How…
Classification and estimation in the Stochastic Block Model based on the empirical degrees
Antoine Channarond, Jean-Jacques Daudin, Stéphane Robin
The Stochastic Block Model (Holland et al., 1983) is a mixture model for heterogeneous network data. Unlike the usual statistical framework, new nodes give additional information a…