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
Python package of the 'Tumoroscope' model implemented in PyMC.
Book chapter - dev code
This repo consists of Naive Bayes algo from scratch and Email-Spam classification project using Naive Bayes
This mini-project applies Bayesian statistics to baseball data, using prior information and observed statistics to create posterior probabilities.
Bayesian Elo system for Valorant with player stat weighting, regional bias, time decay, and API design
A python tutorial on bayesian modeling techniques (PyMC3)
The Tumoroscope model in PyMC.
Bayesian in-game win probability model for K-league(Korean football league) based on Pieter Robberechts's model
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