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Tutorial notebooks

The following tutorials are also available as Juputer notebooks.

Bivariate causality analyses on scalar time series

• SMeasureTest on scalar time series.

Causality from uncertain data

• PredictiveAsymmetryTest with naive resampling

Causality from uncertain data, binning

Many causality tests require data that are equally spaced in time. If your time series have timing uncertainties, they can be brought on a common, regularly spaced time grid by using a binned resampling scheme. Then, define an instance of a BinnedDataCausalityTest with the desired binning scheme and causality test of your choice, and apply the test over one or more draws of the binned dataset. Below are some examples:

• PredictiveAsymmetryTest with BinnedResampling [notebook]
• PredictiveAsymmetryTest with BinnedMeanResampling [notebook]