June 7, 2024, 4:43 a.m. | Jesse Bowers, Steve Culpepper

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.03653v1 Announce Type: cross
Abstract: Latent Class Models (LCMs) are used to cluster multivariate categorical data, commonly used to interpret survey responses. We propose a novel Bayesian model called the Equivalence Set Restricted Latent Class Model (ESRLCM). This model identifies clusters who have common item response probabilities, and does so more generically than traditional restricted latent attribute models. We verify the identifiability of ESRLCMs, and demonstrate the effectiveness in both simulations and real-world applications.

abstract arxiv bayesian categorical class cluster cs.lg data math.st multivariate novel responses set stat.ml stat.th survey type

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