TCD-Arena is a new customizable testing framework that runs millions of experiments to map how 33 different assumption violations affect time series causal discovery methods and shows ensembles can boost overall robustness.
Sofia Faltenbacher, Jonas Wahl, Rebecca Herman, and Jakob Runge
2 Pith papers cite this work. Polarity classification is still indexing.
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Redundant tests in conditional-independence-based graphical model discovery can detect errors only if they follow from graphical assumptions rather than holding for every probability distribution.
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TCD-Arena: Assessing Robustness of Time Series Causal Discovery Methods Against Assumption Violations
TCD-Arena is a new customizable testing framework that runs millions of experiments to map how 33 different assumption violations affect time series causal discovery methods and shows ensembles can boost overall robustness.
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On Different Notions of Redundancy in Conditional-Independence-Based Discovery of Graphical Models
Redundant tests in conditional-independence-based graphical model discovery can detect errors only if they follow from graphical assumptions rather than holding for every probability distribution.