English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

This paper deals with the estimation of the unknown distribution of hiddenrandom variables from the observation of pairwise comparisons between thesevariables. This problem is inspired by recent developments on Bradley-Terrymodels in random environment since this framework happens to be relevant topredict for instance the issue of a championship from the observation of a fewcontests per team. This paper provides three contributions on a Bayesiannonparametric approach to solve this problem. First, we establish contractionrates of the posterior distribution. We also propose a Markov Chain Monte Carloalgorithm to approximately sample from this posterior distribution inspiredfrom a recent Bayesian nonparametric method for hidden Markov models. Finally,the performance of this algorithm are appreciated by comparing predictions onthe issue of a championship based on the actual values of the teams and thoseobtained by sampling from the estimated posterior distribution.

A Bayesian nonparametric approach for generalized Bradley-Terry models in random environment