Bayesian Sports Models in R for Beginner’s: Step-by-Step Techniques and Real-World Applications for Predictive Analytics in Sports
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Bayesian Sports Models in R for Beginner’s: Step-by-Step Techniques and Real-World Applications for Predictive Analytics in Sports

by Logan K. Redford

Sports Education statistics Data Science
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A beginner-friendly introduction to Bayesian sports modeling with R. This guide combines step-by-step techniques and real-world applications to help readers explore predictive analytics in sports. It offers an accessible entry point for developing practical skills with statistical models and sports data.

About This Book

This beginner-focused guide introduces Bayesian sports models using R.

It presents step-by-step techniques for exploring predictive analytics in sports.

The book emphasizes practical, real-world applications while helping readers build familiarity with modeling concepts.

It is suited to readers seeking an accessible starting point for applying statistical analysis to sports data.

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