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Thursday, September 26, 2024 3:30pm to 4:30pm
About this Event
Bayesian Rank-Clustering: Voting, Surveys, and Clinical Trials -
When individuals express preferences using a ranking, a natural goal is to aggregate the data into an overall ranking of objects from best to worst. However, the inferred ranks associated with each object are often uncertain (or even indistinguishable). In this talk, I'll present a Bayesian statistical model for inferring rank-clusters from rankings that permits more interpretable and honest summaries of the observed data. The model is applied to real datasets on ranked-choice voting, social surveys, and clinical trials.
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