Angela Montanari

J. Multivar. Anal., 2024

2022

Matrix sketching for supervised classification with imbalanced classes.

[BibT_eX]

[DOI]

Roberta Falcone

Laura Anderlucci

Data Min. Knowl. Discov., 2022

High-Dimensional Clustering via Random Projections.

[BibT_eX]

[DOI]

Laura Anderlucci

Francesca Fortunato

J. Classif., 2022

2020

A large covariance matrix estimator under intermediate spikiness regimes.

[BibT_eX]

[DOI]

Matteo Farnè

J. Multivar. Anal., 2020

2016

Second special issue on "Advances in latent variables: methods, models and applications".

[BibT_eX]

[DOI]

Maurizio Vichi

Adv. Data Anal. Classif., 2016

Special issue on Advances in latent variables: methods, models and applications.

[BibT_eX]

[DOI]

Maurizio Vichi

Adv. Data Anal. Classif., 2016

2014

A hierarchical modeling approach for clustering probability density functions.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2014

2013

Discussion of "Model-based clustering and classification with non-normal mixture distributions" by S.X. Lee and G.J. McLachlan.

[BibT_eX]

[DOI]

Giuliano Galimberti

Stat. Methods Appl., 2013

Model-based clustering of probability density functions.

[BibT_eX]

[DOI]

Adv. Data Anal. Classif., 2013

2011

Maximum likelihood estimation of mixtures of factor analyzers.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2011

2009

Penalized factor mixture analysis for variable selection in clustered data.

[BibT_eX]

[DOI]

Giuliano Galimberti

Comput. Stat. Data Anal., 2009

2008

Independent factor discriminant analysis.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2008

2005

Model-based Density Estimation by Independent Factor Analysis.

[BibT_eX]

[DOI]

Proceedings of the From Data and Information Analysis to Knowledge Engineering, 2005

2004

Linear Discriminant Analysis and Transvariation.

[BibT_eX]

[DOI]