causalimpact

Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.

Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models

A replication of the paper "Democratization and Economic Output in Sub-Saharan Africa".

Causal Impact の理解と誤解

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

An R package offering quick and easy prototyping for non-causal impact analysis.

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.