https://github.com/jbris/synthetic-control-pymc
Tutorials for the synthetic control method for causal inference using PyMC
https://github.com/jbris/synthetic-control-pymc
bayesian-inference bayesian-models bayesian-statistics causal-discovery causal-inference causal-modeling causal-modelling causal-models causality causality-algorithms causality-analysis pymc python synthetic-control synthetic-control-method
Last synced: 3 months ago
JSON representation
Tutorials for the synthetic control method for causal inference using PyMC
- Host: GitHub
- URL: https://github.com/jbris/synthetic-control-pymc
- Owner: JBris
- License: mit
- Created: 2024-02-03T05:14:17.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-02-03T13:13:35.000Z (over 1 year ago)
- Last Synced: 2025-01-12T16:08:10.067Z (4 months ago)
- Topics: bayesian-inference, bayesian-models, bayesian-statistics, causal-discovery, causal-inference, causal-modeling, causal-modelling, causal-models, causality, causality-algorithms, causality-analysis, pymc, python, synthetic-control, synthetic-control-method
- Language: Jupyter Notebook
- Homepage: https://jbris.github.io/synthetic-control-pymc/
- Size: 2.31 MB
- Stars: 4
- Watchers: 3
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
README
# synthetic-control-pymc
Tutorials for the synthetic control method for causal inference using PyMC