LeihuaYe / Causal-Inference-Using-Quasi-Experimental-MethodsLinks
Causal Inference Using Quasi-Experimental Methods
☆20Updated 4 years ago
Alternatives and similar repositories for Causal-Inference-Using-Quasi-Experimental-Methods
Users that are interested in Causal-Inference-Using-Quasi-Experimental-Methods are comparing it to the libraries listed below
Sorting:
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- causaleffect: R package for identifying causal effects.☆37Updated 3 months ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 6 years ago
- Code for blog posts.☆20Updated 2 years ago
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated last week
- ☆13Updated 3 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin☆14Updated 3 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- intro to ML☆28Updated 2 months ago
- Code for the paper "CAREER: Transfer Learning for Economic Prediction of Labor Sequence Data"☆50Updated last year
- Epidemiology analysis package☆150Updated 2 years ago
- Introduction to Scientific Python☆15Updated 6 years ago
- Minimax Estimation of Conditional Moment Models☆32Updated 2 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆23Updated 6 years ago
- Unstructured Code with interesting analysis☆36Updated last year
- Forecasting: Principles and Practice (2nd ed)☆53Updated 8 years ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆36Updated 2 weeks ago
- A package for Safe Anytime Valid Inference☆26Updated last year
- Machine learning based causal inference/uplift in Python☆62Updated last week
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆45Updated 5 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆25Updated last year
- Causal Inference in Python☆44Updated 2 months ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- ☆96Updated 7 years ago
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆30Updated 6 years ago
- Propensity score Matching and Subclassification with 3 or more Treatments☆21Updated 6 years ago