Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
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Jan 13, 2025 - Python
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causalimpact
Here are 7 public repositories matching this topic...
Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models
machine-learning r bayesian predictive-analytics causal-inference stastistical-sampling prediction-model time-series-analysis bsts causal-impact causalimpact
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May 21, 2019 - HTML
A replication of the paper "Democratization and Economic Output in Sub-Saharan Africa".
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Jan 17, 2020 - HTML
An R package offering quick and easy prototyping for non-causal impact analysis.
r time-series impact-analysis time-series-analysis time-series-forecast time-series-forecasting causalimpact
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Nov 3, 2023 - R
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
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Jan 4, 2023 - Jupyter Notebook
Causal Impact の理解と誤解
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Jul 7, 2020 - R
Accurate Retail Sales Forecasting using Machine Learning, Causal Impact Analysis, and Explainable AI (SHAP). Full end-to-end pipeline for predicting Rossmann daily sales and quantifying promotion effects.
python data-science machine-learning time-series random-forest xgboost forecasting feature-engineering causal-inference explainable-ai shap causalimpact retail-analytics
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Apr 27, 2025 - Jupyter Notebook
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