PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Time Series Analysis with the Causality Workbench
Isabelle Guyon, Alexander Statnikov and Constantin Aliferis
In: NIPS 2010 mini-symposium on causality in time series, 10 Dec 2009, Vancouver, Canada.


The Causality Workbench project is an environment to test causal discovery algorithms. Via a web portal (, 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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EPrint Type:Conference or Workshop Item (Invited Talk)
Additional Information:Keywords: Causality, Benchmark, Challenge, Competition, Time Series Prediction.
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Theory & Algorithms
ID Code:7505
Deposited By:Isabelle Guyon
Deposited On:17 March 2011