christinaheinze / causality-course-ethzLinks
Code used in the causality course (401-4632-15) at ETH Zurich.
☆22Updated 6 years ago
Alternatives and similar repositories for causality-course-ethz
Users that are interested in causality-course-ethz are comparing it to the libraries listed below
Sorting:
- Code for the paper "Joint Causal Inference from Multiple Contexts" (JMLR 2020)☆16Updated 4 years ago
- Materials Collection for Causal Inference☆46Updated 2 years ago
- Assessing Disparate Impacts of Personalized Interventions: Identifiability and Bounds☆11Updated 5 years ago
- Bayesian Causal Forests☆45Updated last year
- Data for and description of the ACIC 2023 data competition☆32Updated last year
- ☆10Updated 3 years ago
- Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code☆83Updated 7 years ago
- TIme series DiscoverY BENCHmark (tidybench)☆37Updated last year
- Non-parametrics for Causal Inference☆47Updated 3 years ago
- Code to reproduce the numerical experiments in the paper Domain adaptation under structural causal models by Yuansi Chen and Peter Bühlma…☆18Updated 3 years ago
- A unified interface for the estimation of causal networks☆22Updated 5 years ago
- Causal Discovery with Equal Variance Assumption☆9Updated 3 years ago
- Code to run submissions for the Atlantic Causal Inference Competition☆42Updated 9 months ago
- Computational Statistics and Statistical Computing☆37Updated 4 years ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆19Updated 3 months ago
- Code for Conformal Counterfactual Inference under Hidden Confounding (KDD’24)☆11Updated 9 months ago
- Conditional calibration of conformal p-values for outlier detection.☆34Updated 2 years ago
- Repository for Introduction to Bayesian Estimation of Causal Effects☆62Updated 4 years ago
- Python package to compute conditional and non-conditional causal effects.☆35Updated 3 years ago
- Active Bayesian Causal Inference (Neurips'22)☆54Updated 10 months ago
- Demo data and code for "Sense and Sensitivity Analysis: Simple Post-Hoc Analysis of Bias Due to Unobserved Confounding".☆26Updated 3 years ago
- ☆78Updated 4 years ago
- Project on Causal Machine learning CS 7290☆16Updated 5 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆46Updated 3 weeks ago
- ☆95Updated last year
- Train deepGLM with Matlab, R and Python☆27Updated 2 years ago
- Tools for causal discovery in R☆19Updated 3 months ago
- Structural Causal Bandit☆24Updated 3 years ago
- R package cfcausal☆27Updated 2 years ago
- Flowchart to help choose which causal inference book to read. See https://bradyneal.github.io/which-causal-inference-book for more info s…☆59Updated 5 years ago