LeihuaYe / Causal-Inference-Using-Quasi-Experimental-MethodsLinks
Causal Inference Using Quasi-Experimental Methods
☆20Updated 4 years ago
Alternatives and similar repositories for Causal-Inference-Using-Quasi-Experimental-Methods
Users that are interested in Causal-Inference-Using-Quasi-Experimental-Methods 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.☆25Updated 2 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- Code for blog posts.☆20Updated last year
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆27Updated 5 years ago
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆29Updated 6 years ago
- causaleffect: R package for identifying causal effects.☆36Updated 2 weeks ago
- Introduction to Scientific Python☆15Updated 5 years ago
- Interpretable and model-robust causal inference for heterogeneous treatment effects using generalized linear working models with targeted…☆26Updated 3 years ago
- Notebooks of Python and R code which illustrates basic causal inference using simulated data☆23Updated 6 years ago
- Explorations of survival analysis in Python☆49Updated 2 years ago
- Epidemiology analysis package☆149Updated 2 years ago
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Machine Learning models using a Bayesian approach and often PyMC3☆25Updated 4 years ago
- causal-falsify: A Python library with algorithms for falsifying unconfoundedness assumption in a composite dataset from multiple sources.☆35Updated last month
- Quick cheat sheet to time series models using NYC Taxi Data☆16Updated 5 years ago
- Handbook of Graphs and Networks in People Analytics☆120Updated last year
- Machine learning based causal inference/uplift in Python☆61Updated last year
- Lecture Notes on Statistical Inference☆77Updated 11 months ago
- Tutorial in randomization inference, experimental design and analysis, and experiments in networks.☆29Updated 9 years ago
- A full example for causal inference on real-world retail data, for elasticity estimation☆52Updated 4 years ago
- How to use SHAP values for better cluster analysis☆59Updated 3 years ago
- Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)☆13Updated last week
- 🪜 Bayesian Hierarchical Models at Scale☆51Updated 4 years ago
- Introduction to Econometrics at the University of Oregon (EC421) during Spring quarter, 2020. Taught by Ed Rubin☆15Updated 3 years ago
- This repository includes all the data analyses I carry out for my general exams reading, Spring 2015☆64Updated 10 years ago
- An R package to estimate the effect of interventions on univariate time series using ARIMA models☆23Updated last year
- Unstructured Code with interesting analysis☆37Updated 11 months ago
- ☆13Updated 3 years ago