google / empirical_calibrationLinks
☆44Updated last year
Alternatives and similar repositories for empirical_calibration
Users that are interested in empirical_calibration are comparing it to the libraries listed below
Sorting:
- R package for Multi-Armed Bandit Simulation Study☆37Updated 7 years ago
- ☆97Updated 7 years ago
- DEPRECATED. See new generalized random forest package for up-to-date implementation.☆53Updated 7 years ago
- ☆20Updated 4 months ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- An R package for AB testing leveraging pre-period information☆67Updated 5 years ago
- Fit Sparse Synthetic Control Models in Python☆83Updated last year
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 3 years ago
- Contextual Bandits in R - simulation and evaluation of Multi-Armed Bandit Policies☆81Updated 5 years ago
- Code for Shopper, a probabilistic model of shopping baskets☆52Updated 4 years ago
- Multiple Response Uplift (or heterogeneous treatment effects) package that builds and evaluates tradeoffs with multiple treatments and mu…☆69Updated 3 months ago
- difference-in-differences in Python☆103Updated last year
- Python implementation of R package breakDown☆43Updated 2 years ago
- Educational resources☆104Updated 3 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- ☆50Updated 7 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆26Updated 5 years ago
- WIP predicted survival functions☆38Updated 5 years ago
- Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference☆50Updated 2 weeks ago
- The Identification and Estimation of Direct and Indirect Effects in A/B Tests through Causal Mediation Analysis☆23Updated 3 years ago
- Temporal HIErarchical Forecasting☆47Updated 2 years ago
- Machine learning based causal inference/uplift in Python☆61Updated last year
- A full example for causal inference on real-world retail data, for elasticity estimation☆51Updated 4 years ago
- Code associated with paper: Orthogonal Machine Learning for Demand Estimation: High-Dimensional Causal Inference in Dynamic Panels, Seme…☆25Updated 2 years ago
- Python implementation of the original R sensemakr package: https://github.com/carloscinelli/sensemakr☆52Updated 2 months ago
- vtreat is a data frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. Distr…☆121Updated 7 months ago
- Performance of various open source GBM implementations☆219Updated last year
- Causal Inference using Bayesian Additive Regression Trees☆81Updated last week
- ☆18Updated 2 years ago