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

DOI10.1109/TIT.2019.2903249zbMath1432.62234arXiv1603.06881OpenAlexW2920625633WikidataQ128301189 ScholiaQ128301189MaRDI QIDQ5224116

Sivaraman Balakrishnan, Martin J. Wainwright, Nihar B. Shah

Publication date: 19 July 2019

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1603.06881

zbMATH Keywords

strong stochastic transitivityadaptivity index

Mathematics Subject Classification ID

Point estimation (62F10) Paired and multiple comparisons; multiple testing (62J15)

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Isotonic regression with unknown permutations: statistics, computation and adaptation ⋮ Low Permutation-rank Matrices: Structural Properties and Noisy Completion ⋮ Optimal permutation estimation in crowdsourcing problems ⋮ Worst-case versus average-case design for estimation from partial pairwise comparisons ⋮ Estimation of Monge matrices ⋮ Optimal rates of statistical seriation ⋮ Towards optimal estimation of bivariate isotonic matrices with unknown permutations

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