
Latent Space Network Modelling with Continuous and Discrete Geometries
A rich class of network models associate each node with a lowdimensiona...
read it

Causal Inference with Bipartite Designs
Bipartite experiments are a recent object of study in causal inference, ...
read it

Latent Space Representations of Hypergraphs
The increasing prevalence of relational data describing interactions amo...
read it

Estimating Causal Effects Under Interference Using Bayesian Generalized Propensity Scores
In most realworld systems units are interconnected and can be represent...
read it

Quantifying homologous proteins and proteoforms
Many proteoforms  arising from alternative splicing, posttranslational...
read it

Inference of Network Summary Statistics Through Network Denoising
Consider observing an undirected network that is `noisy' in the sense th...
read it
Edoardo Airoldi
is this you? claim profile