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Adaptive partition Factor Analysis
Factor Analysis has traditionally been utilized across diverse disciplines to extrapolate latent
traits that influence the behavior of multivariate observed variables. Historically, the focus …
traits that influence the behavior of multivariate observed variables. Historically, the focus …
A Bayesian approach to model local and temporal heterogeneity in repeated cross-sectional health surveys
In several countries, including Italy, a prominent approach to population health surveillance
involves conducting repeated cross-sectional surveys at short intervals of time. These …
involves conducting repeated cross-sectional surveys at short intervals of time. These …
Robust Matrix Completion for Discrete Rating-Scale Data
Matrix completion has gained considerable interest in recent years. The goal of matrix
completion is to predict the unknown entries of a partially observed matrix using its known …
completion is to predict the unknown entries of a partially observed matrix using its known …