larsroemheld / causalinf_ex_elasticity
A full example for causal inference on real-world retail data, for elasticity estimation
β50Updated 3 years ago
Alternatives and similar repositories for causalinf_ex_elasticity:
Users that are interested in causalinf_ex_elasticity are comparing it to the libraries listed below
- (ml) - python implementation of bayesian media mix modelling with shape and carryover effectβ58Updated 3 years ago
- πͺ Bayesian Hierarchical Models at Scaleβ52Updated 3 years ago
- Fit Sparse Synthetic Control Models in Pythonβ80Updated 11 months ago
- Example usage of scikit-htsβ57Updated 2 years ago
- Unstructured Code with interesting analysisβ35Updated 5 months ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and muβ¦β66Updated 7 months ago
- This project introduces Causal AI and how it can drive business value.β45Updated 6 months ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakrβ49Updated 3 months ago
- A Python library that implements scoring utilities, analysis strategies, and visualization methods which can serve uplift modeling use-caβ¦β24Updated 2 years ago
- A python package for hierarchical forecasting, inspired by hts package in R.β28Updated last month
- Presentation materials for PyMC Statespaceβ16Updated 6 months ago
- Synthetic difference in differences for Pythonβ76Updated 11 months ago
- π Comparing causality methods in a fair and just way.β138Updated 4 years ago
- Developmental tools to detect data driftβ15Updated last year
- Code and notebooks for my Medium blog postsβ119Updated last year
- Customer Base Analysis with Recurrent Neural Networksβ18Updated 3 years ago
- Causal Inference Crash Course for Scientists - contains slides and Jupyter notebooksβ92Updated 2 weeks ago
- Buy Till You Die and Customer Lifetime Value statistical models in Python.β115Updated 10 months ago
- A python module for the synthetic control method