a visual dictionary of Bayesian Networks and Causal Inference.
☆86Feb 28, 2026Updated this week
Alternatives and similar repositories for Bayesuvius
Users that are interested in Bayesuvius are comparing it to the libraries listed below
Sorting:
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Feb 13, 2023Updated 3 years ago
- Statistical Tools for Causal Inference☆41Mar 21, 2025Updated 11 months ago
- An Interface to Specify Causal Graphs and Compute Balke Bounds☆22Feb 26, 2025Updated last year
- This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in t…☆14Jul 21, 2023Updated 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 …☆18May 5, 2023Updated 2 years ago
- Tutorials on Stan for Bayesian causal inference☆19Jun 14, 2025Updated 8 months ago
- ☆20Nov 5, 2018Updated 7 years ago
- Notes and simulations on graduate level causal inference in statistics with applications to social sciences.☆24Jul 27, 2019Updated 6 years ago
- Causal DAG Extraction from Text (DEFT)☆66Jan 11, 2025Updated last year
- 🎯🎓 Generalized Targeted Learning Framework☆41Jun 17, 2025Updated 8 months ago
- Highest density regions and conditional density estimation☆25Jan 11, 2026Updated last month
- CPI: Conditional Predictive Impact☆12Nov 25, 2024Updated last year
- generic tools for causal inference with panel data☆12Oct 15, 2025Updated 4 months ago
- Introduction to Econometrics at the University of Oregon (EC421) during Winter quarter, 2022. Taught by Ed Rubin.☆13Mar 5, 2022Updated 4 years ago
- Paper repository for "Double Robust Two-Way Fixed Effect Regression for Panel Data"☆10Mar 4, 2024Updated 2 years ago
- Causal-inference oriented doctoral econometrics course at UO☆13Jun 6, 2024Updated last year
- How to use EconML within R☆12Nov 4, 2019Updated 6 years ago
- Reticulate wrapper for hyperopt☆11Jan 14, 2020Updated 6 years ago
- Code for: Murray EJ, Robins JM, George R. Seage III, Freedberg KA, Hernan MA. A Comparison of Agent-Based Models and the Parametric G-For…☆10Nov 27, 2017Updated 8 years ago
- European Summer School on AI Course "Machines Climbing Pearl's Ladder of Causation"☆14Feb 20, 2024Updated 2 years ago
- A deep neural network package for R☆10Apr 11, 2016Updated 9 years ago
- Julia package for computing inequality indicators☆12Jun 3, 2023Updated 2 years ago
- ☆11Jun 3, 2019Updated 6 years ago
- An Alternative Implementation of Entropy Balancing Weights For Estimating Causal Effects☆10Jul 28, 2021Updated 4 years ago
- python implementation of Peng Ding's "First Course in Causal Inference"☆182Jun 6, 2024Updated last year
- R interface for Fixed Effect Models☆22Apr 1, 2020Updated 5 years ago
- ElegantBook 模板的 LaTeX3 重构☆12Sep 27, 2024Updated last year
- ☆17Jun 20, 2023Updated 2 years ago
- Map data for Turkey☆19Dec 31, 2021Updated 4 years ago
- A sensitivity analysis package for causal effects☆12Mar 18, 2024Updated last year
- TensorFlow training at RStudio::conf(2019)☆25Jan 22, 2019Updated 7 years ago
- 一个用tikz绘制多维评价雷达图的自定义环境,以便于在LaTeX绘制多维评价雷达图。☆12Jan 5, 2019Updated 7 years ago
- Optical Character Recognition (OCR) model for Image-to-LaTeX conversion☆28Mar 5, 2025Updated last year
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆27Apr 7, 2022Updated 3 years ago
- Course materials for Advanced Topics in Statistical Learning, Spring 2023☆50Feb 12, 2026Updated 3 weeks ago
- Lecture notes for 'Interpretable Machine Learning' at WUT and UoW. Summer semester 2019/2020☆29Jun 20, 2020Updated 5 years ago
- Resources to learn more about Machine Learning and Artificial Intelligence☆28Jun 3, 2021Updated 4 years ago
- Examples of causality maps for time series driven by GitHub actions☆15Nov 3, 2023Updated 2 years ago
- Change Point Analysis Tests☆12Sep 17, 2019Updated 6 years ago