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math.ST2023★ 1 cited
Projecting infinite time series graphs to finite marginal graphs using number theory
Andreas Gerhardus, Jonas Wahl, Sofia Faltenbacher +2
In recent years, a growing number of method and application works have adapted and applied the causal-graphical-model framework to time series data. Many of these works employ time…
math.ST2023
Causal Inference on Process Graphs, Part I: The Structural Equation Process Representation
Nicolas-Domenic Reiter, Andreas Gerhardus, Jonas Wahl +1
When dealing with time series data, causal inference methods often employ structural vector autoregressive (SVAR) processes to model time-evolving random systems. In this work, we…