t-tte / causality-papers
☆27Updated this week
Related projects: ⓘ
- ☆42Updated 3 years ago
- A version of scikit-learn that includes implementations of Wager & Athey and Scott Powers causal forests.☆22Updated 7 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆101Updated 3 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆66Updated last month
- Implements the Causal Forest algorithm formulated in Athey and Wager (2018).☆64Updated 4 years ago
- A causal tree method (Causal Tree Learn (CTL)) for heterogeneous treatment effects in Python☆62Updated 6 months ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆52Updated 7 years ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 2 years ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆154Updated 3 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆74Updated 3 months ago
- Code to run submissions for the Atlantic Causal Inference Competition☆41Updated last month
- Implementing MCMC sampling from scratch in R for various Bayesian models☆106Updated 9 months ago
- ☆90Updated 8 months ago
- Code for Shopper, a probabilistic model of shopping baskets☆51Updated 4 years ago
- replication python code for synthetic difference in difference simulation. please check https://arxiv.org/abs/1812.09970 and https://gi…☆14Updated 5 years ago
- R code for ''Bayesian method for causal inference in spatially-correlated multivariate time series''☆43Updated 4 years ago
- Causal Inference using Bayesian Additive Regression Trees☆73Updated this week
- scikit-learn compatible Python bindings for grf (generalized random forests) C++ random forest library☆30Updated 2 years ago
- ☆239Updated 2 years ago
- ☆17Updated 5 years ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆33Updated 3 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆23Updated last year
- EconML/CausalML KDD 2021 Tutorial☆160Updated last year
- Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies☆79Updated 4 years ago
- ☆98Updated 6 years ago
- ☆84Updated 8 months ago
- Some notes on Causal Inference, with examples in python☆149Updated 4 years ago
- Non-parametrics for Causal Inference☆41Updated 2 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆24Updated 2 months ago
- Synthetic difference in differences for Python☆62Updated 5 months ago