CausalLift: Python package for causality-based Uplift Modeling in real-world business
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Updated
May 13, 2023 - Python
CausalLift: Python package for causality-based Uplift Modeling in real-world business
A resource list for causality in statistics, data science and physics
Python tools for regression discontinuity designs
Causal Inference Using Quasi-Experimental Methods
Some examples of using bsts (Bayesian Structural Time Series) to build causal impact models
GEIA es una plataforma web diseñada para analizar series de tiempo interrumpidas y predecir el impacto de eventos significativos en diversos conjuntos de datos. Utilizando herramientas avanzadas de análisis, GEIA permite evaluar cómo eventos específicos afectan a diferentes áreas de estudio.
Quantifying the impact of a documentary on KeepCup search volume
Working with the causaleffects and igraph
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