2 citations · 3 across the 4 of their papers we have counts for
Showing stat.MEShow all
2 papers · 1 filter
stat.ME2025
Phylogenetic latent space models for network data
Federico Pavone, Daniele Durante, Robin J. Ryder
Latent space models for network data characterize each node through a vector of latent features whose pairwise similarities define the edge probabilities among the pairs of nodes.…
stat.ME2020★ 2 cited
Using reference models in variable selection
Federico Pavone, Juho Piironen, Paul-Christian Bürkner +1
Variable selection, or more generally, model reduction is an important aspect of the statistical workflow aiming to provide insights from data. In this paper, we discuss and demons…