anishazaveri / austen_plotsLinks
Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".
☆27Updated 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:
- ☆96Updated last year
- Non-parametrics for Causal Inference☆50Updated 3 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆43Updated last year
- Bayesian Causal Forests☆50Updated last year
- Tools for causal discovery in R☆20Updated 9 months 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
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Design of Simulations using WGAN☆55Updated 3 years ago
- Short tutorials on the use of machine learning methods for causal inference☆50Updated 3 years ago
- R and python implementations of Accelerated Bayesian Causal Forest.☆25Updated last year
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 5 years ago
- ☆25Updated 4 years ago
- Policy learning via doubly robust empirical welfare maximization over trees☆86Updated 5 months ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆49Updated 5 months ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆68Updated 5 years ago
- Conditional calibration of conformal p-values for outlier detection.☆37Updated 3 years ago
- GRAPL: A computational library for nonparametric structural causal modelling, analysis and inference☆83Updated last year
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆62Updated 5 months ago
- R package cfcausal☆33Updated 3 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Updated 10 months ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 6 years ago
- An optimization-based algorithm to accurately estimate the causal effects and robustly predict under distribution shifts. It leverages th…☆14Updated last year
- Paper Repository☆12Updated 3 years ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- ☆44Updated 4 years ago
- Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)☆32Updated 2 years ago
- This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI …☆17Updated 2 years ago
- Notebooks for Applied Causal Inference Powered by ML and AI☆141Updated 9 months ago
- Delicatessen: the Python one-stop sandwich (variance) shop 🥪☆30Updated last week
- This repository is used as a support for the paper "" (to be named)☆27Updated 4 years ago