activity
20202025
most citedThe interventional Bayesian Gaussian equivalent score for Bayesian causal inference with unknown soft interventions

2 citations · 4 across the 7 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2024★ 1 cited

Bayesian Causal Inference with Gaussian Process Networks

Enrico Giudice, Jack Kuipers, Giusi Moffa

Causal discovery and inference from observational data is an essential problem in statistics posing both modeling and computational challenges. These are typically addressed by imp…

stat.ML2023

A Bayesian Take on Gaussian Process Networks

Enrico Giudice, Jack Kuipers, Giusi Moffa

Gaussian Process Networks (GPNs) are a class of directed graphical models which employ Gaussian processes as priors for the conditional expectation of each variable given its paren…