2 papers
stat.OT2026
From Structural Equation Modeling to Targeted Learning: A Tutorial Introduction to Targeted Maximum Likelihood Estimation for SEM Researchers
Junjie Ma, Xiaoya Zhang, Guangye He +3
Structural equation modeling (SEM) and path analysis have long been central tools for studying complex causal relationships in the social and behavioral sciences, yet their relianc…
stat.ME2024
Valid standard errors for Bayesian quantile regression with clustered and independent data
Feng Ji, JoonHo Lee, Sophia Rabe-Hesketh
In Bayesian quantile regression, the most commonly used likelihood is the asymmetric Laplace (AL) likelihood. The reason for this choice is not that it is a plausible data-generati…