3 papers
stat.ME2024
Extending Cluster-Weighted Factor Analyzers for multivariate prediction and high-dimensional interpretability
Xiaoke Qin, Francesca Martella, Sanjeena Subedi
Cluster-weighted factor analyzers (CWFA) are a versatile class of mixture models designed to estimate the joint distribution of a random vector that includes a response variable al…
stat.ME2024
Biclustering bipartite networks via extended Mixture of Latent Trait Analyzers
Dalila Failli, Maria Francesca Marino, Francesca Martella
In the context of network data, bipartite networks are of particular interest, as they provide a useful description of systems representing relationships between sending and receiv…
stat.AP2014
A biclustering approach to university performances: an Italian case study
Valentina Raponi, Francesca Martella, Antonello Maruotti
University evaluation is a topic of increasing concern in Italy as well as in other countries. In empirical analysis, university activities and performances are generally measured…