most citedUsing reference models in variable selection

2 citations · 2 across the 1 of their papers we have counts for

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2 papers

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…