Variance decompositions for extensive-form games
Other Statistics
2020-09-11 v1
Abstract
Quantitative measures of randomness in games are useful for game design and have implications for gambling law. We treat the outcome of a game as a random variable and derive a closed-form expression and estimator for the variance in the outcome attributable to a player of the game. We analyze poker hands to show that randomness in the cards dealt has little influence on the outcomes of each hand. A simple example is given to demonstrate how variance decompositions can be used to measure other interesting properties of games.
Keywords
Cite
@article{arxiv.2009.04834,
title = {Variance decompositions for extensive-form games},
author = {Alex Cloud and Eric Laber},
journal= {arXiv preprint arXiv:2009.04834},
year = {2020}
}