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GitHub topics: causalimpact
WillianFuks/tfcausalimpact
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
Language: Python - Size: 8.09 MB - Last synced: 25 days ago - Pushed: about 1 month ago - Stars: 579 - Forks: 69
nitinjosephrepo/Google-Causal-Impact-Inferring-the-effect-of-an-event
The Causal Impact model lets you examine ecommerce and marketing time series data to understand whether changes have led to a statistically significant performance improvement. Here's how to use PyCausalImpact to analyse changes in marketing activity or in this case on Boeing stock price
Language: Jupyter Notebook - Size: 239 KB - Last synced: 3 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0
shahabhishek1729/DeltaForecast
An R package offering quick and easy prototyping for non-causal impact analysis.
Language: R - Size: 50.8 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0
almagashi/Replication-and-Extension
A replication of the paper "Democratization and Economic Output in Sub-Saharan Africa".
Language: HTML - Size: 2.3 MB - Last synced: 8 months ago - Pushed: over 4 years ago - Stars: 1 - Forks: 0
Gedevan-Aleksizde/20190728_DID
Causal Impact の理解と誤解
Language: R - Size: 4.94 MB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 1 - Forks: 1