Identifiability Analysis of Linear ODE Systems with Hidden Confounders
This research analyzes linear Ordinary Differential Equation (ODE) systems that include hidden variables (confounders) to determine when their parameters can be uniquely identified from observations. It establishes specific mathematical conditions, such as linear independence of certain vector sets, that must be met for reliable causal inference about these dynamic systems to be possible.