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Oct 19, 2023 at 13:26 comment added Kiran Tomlinson I think the Blade-Chest model is exactly what you're looking for: cs.cornell.edu/people/tj/publications/chen_joachims_16a.pdf. Every player is represented using two vectors (their "blade" and "chest") representing their offensive and defensive abilities. You can fit this model to data and represent intransitivity in matchups.
Oct 19, 2023 at 7:08 history edited mb1 CC BY-SA 4.0
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Oct 18, 2023 at 23:40 comment added mb1 @GerryMyerson - Munshi (2014) seems to only talk about "percent of win" as a second metric. This does not necessarily generalize well to style in most games
Oct 18, 2023 at 23:35 comment added mb1 @GerryMyerson - Pelanek (2016) assumes testability of each skill individually. "The multi- variate extension is used as follows. Based on available data we compute correlations $c_{ij}$ between knowledge components. For each knowledge component $i$ we have a student skill parameter $\theta_{si}$. After a student $s$ answers a question belonging to a knowledge component $i$ we update estimates of all skills $j$ ..."
Oct 18, 2023 at 22:46 comment added Gerry Myerson Section 2.4 of Pelanek R., Applications of the Elo Rating System in Adaptive Educational Systems, Computers & Education (2016), doi:10.1016/j.compedu.2016.03.017. available at fi.muni.cz/~xpelanek/publications/CAE-elo.pdf is entitled, Multivariate Extensions.
Oct 18, 2023 at 22:41 comment added Gerry Myerson Munshi, Jamal, The Relative Playing Strength of Chess Players: A Note (August 8, 2014). Available at SSRN: ssrn.com/abstract=2477868 or dx.doi.org/10.2139/ssrn.2477868 "The conventional method of rating chess players uses a method called "scoring" to reduce a trinomial process to a binomial making it possible to rate chess playing strength with a single scalar measure. ... Two dimensional measures of playing strength, though more cumbersome to use, may have greater validity because they contain more information."
Oct 18, 2023 at 22:27 history edited YCor CC BY-SA 4.0
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S Oct 18, 2023 at 21:41 review First questions
Oct 19, 2023 at 4:42
S Oct 18, 2023 at 21:41 history asked mb1 CC BY-SA 4.0