anishazaveri / austen_plotsLinks
Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
☆28Updated 4 years ago
Alternatives and similar repositories for austen_plots
Users that are interested in austen_plots are comparing it to the libraries listed below
Sorting:
- Design of Simulations using WGAN☆56Updated 3 years ago
- ☆96Updated 2 years ago
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆45Updated last year
- Bayesian Causal Forests☆53Updated last year
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 6 months ago
- Tools for causal discovery in R☆21Updated 2 weeks ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 11 months ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 6 years ago
- Tools for conformal inference in regression☆251Updated last year
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆84Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- R package cfcausal☆33Updated 3 years ago
- Quasi-Oracle Estimation of Heterogeneous Treatment Effects☆120Updated 4 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆50Updated 6 months ago
- Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction☆161Updated 4 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Paper Repository☆12Updated 3 years ago
- ☆25Updated 4 years ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 6 months ago
- ☆44Updated 4 years ago
- Tools for estimating causal effects for multivariate continuous exposures☆13Updated 4 years ago
- Conditional calibration of conformal p-values for outlier detection.☆38Updated 3 years ago
- Python package to compute conditional and non-conditional causal effects.☆37Updated 3 years ago
- Course material for the PhD course in Advanced Bayesian Learning☆60Updated 11 months ago
- Approximately balanced estimation of average treatment effects in high dimensions.☆35Updated 4 years ago