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harveybc / causal-inference

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Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.

python machine-learning ai timeseries deep-learning event-data forecasting plugin-system causal-inference heterogeneous-data lineal-regression meta-learning random-tree outcome-prediction causal-machine-learning double-machine-learning external-plugin pywhy econml
  • Updated Jan 22, 2025
  • Python

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