Monia Ranalli

Composite Likelihood Inference for Simultaneous Clustering and Dimensionality Reduction of Multivariate Mixed-Type Longitudinal Data

Abstract We propose a novel multivariate hidden Markov model (HMM) designed to analyze longitudinal mixed-type data comprising continuous and ordinal variables. Our model identifies and prioritizes discriminative dimensions, i.e., those useful for clustering, while separating the...

A novel model-based biclustering for ordinal data via a URV approach

Abstract We introduce a novel finite mixture model for biclustering ordinal data matrices, simultaneously clustering rows and columns within the Underlying Response Variable (URV) framework. Ordinal responses are modeled as discretizations of latent Gaussian variables, while comp...