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Causal Inference Using Global Forecasting Models for Counterfactual Prediction.

Priscila GrecovKasun BandaraChristoph BergmeirKlaus AckermannSam CampbellDeborah ScottDan I. Lubman
Published in: PAKDD (2) (2021)
Keyphrases
  • causal inference
  • additive noise
  • prediction accuracy
  • causal models
  • abductive reasoning
  • discrete data
  • nonmonotonic reasoning
  • observational data
  • active learning
  • maximum likelihood
  • spatial domain