3 papers
stat.ML2026
Representation Learning for Semiparametric Causal Mediation Analysis under No Essential Heterogeneity
Roberto Faleh, Sofia Morelli, Holger Brandt
We propose a two-stage estimator for structural mediation parameters that combines deep representation learning with G-estimation under the "no essential heterogeneity" (NEH) assum…
stat.ME2025
Dynamic Latent Class Structural Equation Modeling: A Hands-On Tutorial for Modeling Intensive Longitudinal Data
Roberto Faleh, Sofia Morelli, Vivato Andriamiarana +3
In this tutorial, we provide a hands-on guideline on how to implement complex Dynamic Latent Class Structural Equation Models (DLCSEM) in the Bayesian software JAGS. We provide bui…
stat.ME2024
On an EM-based closed-form solution for 2 parameter IRT models
Stefano Noventa, Roberto Faleh, Augustin Kelava
It is a well-known issue that in Item Response Theory models there is no closed-form for the maximum likelihood estimators of the item parameters. Parameter estimation is therefore…