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Causal Effect Estimation with Global Probabilistic Forecasting: A Case
  Study of the Impact of Covid-19 Lockdowns on Energy Demand

Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand

19 September 2022
Ankitha Nandipura Prasanna
Priscila Grecov
Angela Dieyu Weng
Christoph Bergmeir
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Papers citing "Causal Effect Estimation with Global Probabilistic Forecasting: A Case Study of the Impact of Covid-19 Lockdowns on Energy Demand"

2 / 2 papers shown
Title
Forecast Evaluation for Data Scientists: Common Pitfalls and Best
  Practices
Forecast Evaluation for Data Scientists: Common Pitfalls and Best Practices
Hansika Hewamalage
Klaus Ackermann
Christoph Bergmeir
AI4TS
65
86
0
21 Mar 2022
Balancing, Regression, Difference-In-Differences and Synthetic Control
  Methods: A Synthesis
Balancing, Regression, Difference-In-Differences and Synthetic Control Methods: A Synthesis
Nikolay Doudchenko
Guido Imbens
23
409
0
25 Oct 2016
1