Abstract
The primary goal of the visit is to advance the development of a methodological framework for causal discovery from observational data exhibiting complex dependency structures and diverse variable types. Building on our previous collaboration - focused on causal inference using conditional independence tests based on linear mixed models for analyzing Gaussian data from family-based studi…