Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons

Abstract

We study methods for aggregating pairwise comparison data in order to estimate outcome probabilities for future comparisons. We investigate this problem under a flexible class of models satisfying the strong stochastic transitivity (SST) condition. Prior works have studied the minimax risk for estimation of the pairwise comparison probabilities under the… (More)
DOI: 10.1109/ISIT.2016.7541480

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