fonnesbeck / election_pycast
PyMC3 implementation of Drew Linzer’s dynamic Bayesian election forecasting model
☆11Updated 8 years ago
Alternatives and similar repositories for election_pycast:
Users that are interested in election_pycast are comparing it to the libraries listed below
- ☆31Updated 8 years ago
- Slides and materials for workshop on "Two views on regression with PyMC3 and scikit-learn"☆19Updated last year
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- Migrated to GitLab☆19Updated last year
- ☆32Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 8 years ago
- Central repository for my distributions figures☆16Updated 6 years ago
- Repository for code/examples/instructions for the MIT course 15.S60 "Software Tools for Operations Research"☆26Updated 10 years ago
- Forecasting 🇫🇷 elections with Bayesian statistics 🥳☆42Updated 2 years ago
- Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"☆64Updated 7 years ago
- An interactive visualization tool that transforms probabilistic programming models into an "Interactive Probabilistic Models Explorer".☆24Updated 9 months ago
- A Bayesian testing framework written in Python.☆94Updated 10 years ago
- Decorator for PyMC3☆50Updated 3 years ago
- Bayesian Modeling using Stan in R (May/June 2016)☆54Updated 8 years ago
- Describing and explaining CS notation to make research papers more accessible.☆8Updated 5 years ago
- bayesian graphical modelling and a bit of do-calculus for discrete data.☆27Updated 5 years ago
- Variable importance through targeted causal inference, with Alan Hubbard☆57Updated 2 years ago
- An R package implementing Rubin's (1981) Bayesian bootstrap.☆49Updated 6 years ago
- Computational simulation framework for analyzing trading behavior in climate prediction markets☆22Updated 4 years ago
- ☆42Updated 6 years ago
- A symbolic algebra for specifying simulations.☆35Updated last year
- A CSS stylesheet for typographically improved Jupyter notebooks☆45Updated 4 years ago
- JupyterLab renderer of dagitty causal diagrams☆22Updated last year
- MPEDS Annotation Interface☆18Updated 2 years ago
- PyData San Luis 2017 Tutorial: An Introduction to Gaussian Processes in PyMC3☆15Updated 7 years ago
- "Exploratory Data Analysis using Random Forests"☆18Updated 9 years 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
- A Sphinx Extension for Generating Jupyter Notebooks☆77Updated 3 years ago
- Causal Inference Using Quasi-Experimental Methods☆20Updated 4 years ago
- A collection of resources for quantitative economics in Python☆13Updated 8 years ago