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stat.ME2025
Causal discovery on vector-valued variables and consistency-guided aggregation
Urmi Ninad, Jonas Wahl, Andreas Gerhardus +1
Causal discovery (CD) aims to discover the causal graph underlying the data generation mechanism of observed variables. In many real-world applications, the observed variables are…
stat.ME2024
Asymptotic Uncertainty in the Estimation of Frequency Domain Causal Effects for Linear Processes
Nicolas-Domenic Reiter, Jonas Wahl, Gabriele C. Hegerl +1
Structural vector autoregressive (SVAR) processes are commonly used time series models to identify and quantify causal interactions between dynamically interacting processes from o…
stat.ME2024
Separation-based distance measures for causal graphs
Jonas Wahl, Jakob Runge
Assessing the accuracy of the output of causal discovery algorithms is crucial in developing and comparing novel methods. Common evaluation metrics such as the structural Hamming d…