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stat.ML2024
Identifiability Analysis of Linear ODE Systems with Hidden Confounders
Yuanyuan Wang, Biwei Huang, Wei Huang +2
The identifiability analysis of linear Ordinary Differential Equation (ODE) systems is a necessary prerequisite for making reliable causal inferences about these systems. While ide…
stat.ML2024★ 1 cited
On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
Shunxing Fan, Mingming Gong, Kun Zhang
We consider the effect of temporal aggregation on instantaneous (non-temporal) causal discovery in general setting. This is motivated by the observation that the true causal time l…