5 citations · 7 across the 8 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
stat.ME2021★ 1 cited
Bayesian graphical modeling for heterogeneous causal effects
Federico Castelletti, Guido Consonni
Our motivation stems from current medical research aiming at personalized treatment using a molecular-based approach. The broad goal is to develop a more precise and targeted decis…
stat.ME2021
Equivalence class selection of categorical graphical models
Federico Castelletti, Stefano Peluso
Learning the structure of dependence relations between variables is a pervasive issue in the statistical literature. A directed acyclic graph (DAG) can represent a set of condition…