Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons

We study methods for aggregating pairwise comparison data among a collection of n items with the goal of estimating the outcome probabilities for future comparisons. Working within a flexible model that only imposes a form of strong stochastic transitivity, we introduce an "adaptivity index&q...

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Veröffentlicht in:	IEEE transactions on information theory 2019-08, Vol.65 (8), p.4854-4874
Hauptverfasser:	Shah, Nihar B., Balakrishnan, Sivaraman, Wainwright, Martin J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptation models adaptivity Benchmark testing Bernoulli probabilities Data models Estimation Ground truth Indexes Least squares negative result for least squares Optimization Pairwise comparisons Stochastic processes stochastic transitivity
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