25 citations · 27 across the 13 of their papers we have counts for
4 papers · 1 filter
The Landscape of Causal Discovery Data: Grounding Causal Discovery in Real-World Applications
Philippe Brouillard, Chandler Squires, Jonas Wahl +4
Causal discovery aims to automatically uncover causal relationships from data, a capability with significant potential across many scientific disciplines. However, its real-world a…
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…
Causal Inference on Process Graphs, Part II: Causal Structure and Effect Identification
Nicolas-Domenic Reiter, Jonas Wahl, Andreas Gerhardus +1
A structural vector autoregressive (SVAR) process is a linear causal model for variables that evolve over a discrete set of time points and between which there may be lagged and in…
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…