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stat.ME2024
A Bayesian Model for Co-clustering Ordinal Data with Informative Missing Entries
Alice Giampino, Antonio Canale, Bernardo Nipoti
Several approaches have been proposed in the literature for clustering multivariate ordinal data. These methods typically treat missing values as absent information, rather than re…
stat.ME2024
Adaptive partition Factor Analysis
Elena Bortolato, Antonio Canale
Factor Analysis has traditionally been utilized across diverse disciplines to extrapolate latent traits that influence the behavior of multivariate observed variables. Historically…
stat.ME2024
Bayesian Nonparametrics for Principal Stratification with Continuous Post-Treatment Variables
Dafne Zorzetto, Antonio Canale, Fabrizia Mealli +2
Principal stratification provides a causal inference framework for investigating treatment effects in the presence of a post-treatment variable. Principal strata play a key role in…