64 citations · 143 across the 11 of their papers we have counts for
13 papers
Regression-based approach for natural direct and indirect relative risk in case of multiple mediators
Monia Lupparelli, Arianna Nuti, Giovanni Maria Marchetti +1
Mediation analysis investigates whether part of the treatment effect is channelled through one or more mediators along the causal pathway between the treatment and the primary outc…
Causal invariance in graphical models with latent variables
Marco Borriero, Monia Lupparelli, Giovanni M. Marchetti +1
Causal discovery aims to identify causal relationships among variables from observational or interventional data, typically represented by a directed acyclic graph (DAG). The causa…
Profile Graphical Models
Alejandra Avalos-Pacheco, Monia Lupparelli, Francesco C. Stingo
We introduce a novel class of graphical models, termed profile graphical models, that represent, within a single graph, how an external factor influences the dependence structure o…
Bayesian Inference of Multiple Ising Models for Heterogeneous Public Opinion Survey Networks
Alejandra Avalos-Pacheco, Andrea Lazzerini, Monia Lupparelli +1
In public opinion studies, the relationships between opinions on different topics are likely to shift based on the characteristics of the respondents. Thus, understanding the compl…
Probability Based Independence Sampler for Bayesian Quantitative Learning in Graphical Log-Linear Marginal Models
Ioannis Ntzoufras, Claudia Tarantola, Monia Lupparelli
Bayesian methods for graphical log-linear marginal models have not been developed in the same extent as traditional frequentist approaches. In this work, we introduce a novel Bayes…
Conditional and marginal relative risk parameters for a class of recursive regression graph models
Monia Lupparelli
In linear regression modelling the distortion of effects after marginalizing over variables of the conditioning set has been widely studied in several contexts. For Gaussian variab…