Reproducibility materials for "Modeling Random Effects Using Global-Local Shrinkage Priors in Small Area Estimation" by Xueying Tang, Malay Ghosh, Neung Soo Ha & Joseph Sedransk
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Updated
Aug 9, 2018 - R
Reproducibility materials for "Modeling Random Effects Using Global-Local Shrinkage Priors in Small Area Estimation" by Xueying Tang, Malay Ghosh, Neung Soo Ha & Joseph Sedransk
Bayesian in-game win probability model for K-league(Korean football league) based on Pieter Robberechts's model
Book chapter - dev code
Python package of the 'Tumoroscope' model implemented in PyMC.
A python tutorial on bayesian modeling techniques (PyMC3)
This mini-project applies Bayesian statistics to baseball data, using prior information and observed statistics to create posterior probabilities.
The Tumoroscope model in PyMC.
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