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  4. Predicting Outcomes of Tennis Matches with Dynamic Bayesian Networks

Predicting Outcomes of Tennis Matches with Dynamic Bayesian Networks

Daniel Korzekwa user avatar by
Daniel Korzekwa
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Nov. 21, 12 · Interview
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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.

Network

Published at DZone with permission of Daniel Korzekwa, DZone MVB. See the original article here.

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