Bayesian Programming

Bayesian Analysis of European Football Leagues

Applied Bayesian statistical methods to analyze football data from Serie A and Premier League.

Collaboration with: Miro Rava

Overview

This project applied Bayesian statistical methods to analyze football data from Serie A and Premier League. The focus was on implementing hierarchical modeling, hypothesis testing, and regression analysis using PyMC.

Approaches

Hierarchical Modeling

Implemented hierarchical models for team performance analysis.

Hypothesis Testing

Developed Bayesian hypothesis testing for various football metrics.

Regression Analysis

Created Bayesian regression models for prediction and analysis.

Results

Successfully implemented Bayesian models
Developed effective analysis pipeline
Created comprehensive visualizations
Generated valuable insights

Technical Details

Used PyMC for Bayesian modeling
Implemented custom statistical methods
Developed data preprocessing pipeline
Created visualization tools

Technologies Used

PythonPyMCArviZPandasMatplotlib