Linear Discriminant Analysis and Transvariation. - Angela Montanari (J. Classif., 2004)

Model-based Density Estimation by Independent Factor Analysis. - Daniela G. Calò; Angela Montanari; Cinzia Viroli (GfKl, 2005)

Independent factor discriminant analysis. - Angela Montanari; Daniela G. Calò; Cinzia Viroli (Comput. Stat. Data Anal., 2008)

Penalized factor mixture analysis for variable selection in clustered data. - Giuliano Galimberti; Angela Montanari; Cinzia Viroli (Comput. Stat. Data Anal., 2009)

Maximum likelihood estimation of mixtures of factor analyzers. - Angela Montanari; Cinzia Viroli (Comput. Stat. Data Anal., 2011)

Model-based clustering of probability density functions. - Angela Montanari; Daniela G. Calò (Adv. Data Anal. Classif., 2013)

Discussion of "Model-based clustering and classification with non-normal mixture distributions" by S.X. Lee and G.J. McLachlan. - Giuliano Galimberti; Angela Montanari (Stat. Methods Appl., 2013)

A hierarchical modeling approach for clustering probability density functions. - Daniela G. Calò; Angela Montanari; Cinzia Viroli (Comput. Stat. Data Anal., 2014)

Special issue on Advances in latent variables: methods, models and applications. - Angela Montanari; Maurizio Vichi (Adv. Data Anal. Classif., 2016)

Second special issue on "Advances in latent variables: methods, models and applications". - Angela Montanari; Maurizio Vichi (Adv. Data Anal. Classif., 2016)

A large covariance matrix estimator under intermediate spikiness regimes. - Matteo Farnè; Angela Montanari (J. Multivar. Anal., 2020)

High-Dimensional Clustering via Random Projections. - Laura Anderlucci; Francesca Fortunato; Angela Montanari (J. Classif., 2022)

Matrix sketching for supervised classification with imbalanced classes. - Roberta Falcone; Laura Anderlucci; Angela Montanari (Data Min. Knowl. Discov., 2022)

Large factor model estimation by nuclear norm plus ℓ1 norm penalization. - Matteo Farnè; Angela Montanari (J. Multivar. Anal., 2024)

Position Paper: Extending Credibility Assessment of In Silico Medicine Predictors to Machine Learning Predictors. - Marco Viceconti; Filippo Lanubile; Antonella Carbonaro; Sabato Mellone; Cristina Curreli; Alessandra Aldieri; Saverio Ranciati; Angela Montanari (IEEE J. Biomed. Health Informatics, 2025)