A Longitudinal Perspective on Ranking Data
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This talk presents a novel latent Markov model with Plackett-Luce emission distributions for the analysis of longitudinal ranking data. The proposed framework models preference dynamics through a finite number of latent preference regimes, allowing for abrupt changes in individual ranking behavior rather than assuming smooth temporal evolution. Individuals transition betweenContinue Reading
