AlxndrMlk / huber-causal-analysis
Jupyter Notebook adaptation of the code from Huber (2023) - Causal Analysis
☆11Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for huber-causal-analysis
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- ☆26Updated last month
- Bayesian Conjugate Models in Python☆25Updated this week
- Tutorials on Stan for Bayesian causal inference☆19Updated last year
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆46Updated 9 months ago
- Packages of Example Data for The Effect☆131Updated 2 weeks ago
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆12Updated last year
- Sensitivity analysis tools for causal ML☆12Updated 5 months ago
- Inference for synthetic controls☆38Updated 3 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin☆15Updated 2 years ago
- ☆16Updated 3 years ago
- notebooks on methods for causal inference☆31Updated 3 months ago
- ☆12Updated 9 months ago
- ☆17Updated last year
- R package cfcausal☆26Updated last year
- ☆58Updated 2 weeks ago
- Adaptive debiased machine learning of treatment effects with the highly adaptive lasso☆14Updated last year
- That's weird: Anomaly detection using R☆42Updated last week
- A system for Bayesian estimation of state space models using PyMC☆32Updated last year
- This Jupyterbook has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and …☆12Updated last year
- Course materials for Advanced Topics in Statistical Learning, Spring 2024☆12Updated last week
- A package for Bayesian causal inference with time-series cross-sectional data☆26Updated 10 months ago
- Distributional Random Forests (Cevid et al., 2020)☆38Updated last year
- This repository provides R-code for the estimation of the conditional average treatment effect (CATE) using machine learning (ML) methods…☆32Updated 3 years ago
- A Python 3.7 package for the econometric analysis of networks☆21Updated last month
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆18Updated 6 months ago
- An introduction to Multilevel Modeling and Poststratification (MRP) and some of its extensions.☆36Updated 2 years ago
- Code for DID chapter☆11Updated last year
- How to use EconML within R☆10Updated 5 years ago
- Sufficient Representation for Categorical Variables https://arxiv.org/abs/1908.09874v1☆14Updated 4 years ago