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

The paper presents a hierarchical Bayesian model for simultaneous inferenceof tournament graphs and informant error. From multiple informant reports ormeasurement instrument outputs, the model estimates the structure of acriterion (i.e., true) tournament graph with possibly tied outcomes. Tournamentgraphs with possibly tied outcomes are graphs in which there are three possiblestates for each unordered pair of graph nodes: node i wins and node j loses;node j wins and node i loses; neither node wins (i.e., tied outcome). The modelalso estimates the rates at which individual informants (or instruments)mistake the winning and losing dyad members, falsely report a tied outcome, andfalsely report a decisive outcome. The model was developed to infer socialdominance structure from multiple informants' reports, but is potentiallyuseful for inferring any structure that can be characterized by a tournamentgraph, and which is measured from multiple reports.

A simple hierarchical Bayesian model for simultaneous inference of tournament graphs and informant error