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Enthusiastic software engineer with 15+ years of experience in developing real-time, event-driven and high-volume computer systems. Especially interested in risk management and automated trading in betting and financial markets. Always disciplined, well-organized, helpful and never gives up. Daniel is a DZone MVB and is not an employee of DZone and has posted 4 posts at DZone. View Full User Profile

Predicting Outcomes of Tennis Matches with Dynamic Bayesian Networks

11.21.2012
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For the purpose of building prediction models in tennis markets, I've developed a Bayesian inference engine in Scala. One of tutorials I wrote on this tool is dedicated to predicting outcomes of tennis matches with Dynamic Bayesian Networks and Expectation Maximization techniques.

Bayes-Scala Project Home Page

Getting Started - Learning parameters with Expectation Maximisation in Unrolled Dynamic Bayesian Networks from incomplete data

Currently I'm evaluating this prediction model on a real data set of tennis matches for last 5 years and I will publish prediction results later on.

Published at DZone with permission of Daniel Korzekwa, author and DZone MVB. (source)

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