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:
- Causal Inference in Python☆43Updated 6 months ago
- A method for estimating causal effects in time-series data. Uses available data to automatically find natural experiments for identifying…☆15Updated 5 years ago
- Minimax Estimation of Conditional Moment Models☆30Updated 2 years ago
- python app for doing personalized causal medicine using the methods invented by Judea Pearl et al.☆25Updated 2 years ago
- Implementation of algorithms from the paper "Globally-Consistent Rule-Based Summary-Explanations for Machine Learning Models: Application…☆25Updated 3 years ago
- Code for blog posts.☆19Updated last year
- Statistical/Machine Learning using Randomized and Quasi-Randomized (neural) networks (currently Python & R)☆19Updated last week
- Data for and description of the ACIC 2023 data competition☆32Updated 2 years ago
- Notes for short course on econometrics in Stan☆10Updated 8 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated last year
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Hypothesis and statistical testing in Python☆64Updated 4 years ago
- Predict whether a student will correctly answer a problem based on past performance using automated feature engineering☆32Updated 4 years ago
- Model-agnostic Statistical/Machine Learning explainability (currently Python) for tabular data☆9Updated 3 months ago
- Keras 101: A simple Neural Network for House Pricing regression☆15Updated 5 years ago
- A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session☆32Updated 3 years ago
- XAI Stories. Case studies for eXplainable Artificial Intelligence☆29Updated 4 years ago
- A Python Package providing two algorithms, DAME and FLAME, for fast and interpretable treatment-control matches of categorical data☆59Updated last year
- This repo aims to share the core algorithms used in the paper, "Global labor flow network reveals the hierarchical organization and dynam…☆29Updated 5 years ago
- ☆16Updated 2 years ago
- causaleffect: R package for identifying causal effects.☆32Updated 2 years ago
- The cause2e package provides tools for performing an end-to-end causal analysis of your data. Developed by Daniel Grünbaum (@dg46).☆60Updated 2 months ago
- Content associated with a PyData Seattle 2017 tutorial on Unevenly spaced time series analysis of The Simpsons using pandas☆15Updated 8 years ago
- Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"☆13Updated 6 years ago
- Public code & notebooks accompanying our blog posts & YouTube tutorials (https://www.youtube.com/c/PyMCLabs)☆25Updated last month
- Reproducible Data Science with Python☆31Updated 2 years ago
- ☆16Updated last year
- ☆13Updated 6 years ago
- Source code for the paper "Causal Modeling of Twitter Activity during COVID-19". Computation, 2020.☆10Updated 2 years ago