Time series analysis with the causality workbench

Isabelle Guyon, Alexander Statnikov, Constantin Aliferis · Neural Information Processing Systems · 2009

The Causality Workbench project is an environment to test causal discovery algorithms. Via a web portal (http://clopinet.com/causality), it provides a number of resources, including a repository of datasets, models, and software packages, and a virtual laboratory allowing users to benchmark causal discovery algorithms by performing virtual experiments to study artificial causal systems. We regularly organize competitions. In this paper, we describe what the platform offers for the analysis of causality in time series analysis.

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