Ancestor regression in structural vector autoregressive models

We present a new method for causal discovery in linear structural vector autoregressive models. We adapt an idea designed for independent observations to the case of time series while retaining its favorable properties, i.e., explicit error control for false causal discovery, at least asymptotically...

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Bibliographic Details
Main Authors: Schultheiss Christoph, Ulmer Markus, Bühlmann Peter
Format: Article
Language:English
Published: De Gruyter 2025-07-01
Series:Journal of Causal Inference
Subjects:
Online Access:https://doi.org/10.1515/jci-2024-0011
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