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Found 4 papers, 1 papers with code
Bayesian Learning of Play Styles in Multiplayer Video Games
We develop a hierarchical Bayesian regression approach for the online multiplayer game Battlefield 3 where performance is modeled as a function of the roles, game type, and map taken on by that player in each of their matches.
Tree-Structured Boosting: Connections Between Gradient Boosted Stumps and Full Decision Trees
Additive models, such as produced by gradient boosting, and full interaction models, such as classification and regression trees (CART), are widely used algorithms that have been investigated largely in isolation.
openWAR: An Open Source System for Evaluating Overall Player Performance in Major League Baseball
Within baseball analytics, there is substantial interest in comprehensive statistics intended to capture overall player performance.
Applications 62P99
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response
Statistical evolutionary models provide an important mechanism for describing and understanding the escape response of a viral population under a particular therapy.
