Farnè, Matteo; Montanari, Angela, A Bootstrap Method to Test Granger-Causality in the Frequency Domain, «COMPUTATIONAL ECONOMICS», 2022, 59, pp. 935 - 966 [articolo]Open Access
Anderlucci L.; Fortunato F.; Montanari A., High-Dimensional Clustering via Random Projections, «JOURNAL OF CLASSIFICATION», 2022, 39, pp. 191 - 216 [articolo]Open Access
Falcone R.; Anderlucci L.; Montanari A., Matrix sketching for supervised classification with imbalanced classes, «DATA MINING AND KNOWLEDGE DISCOVERY», 2022, 36, pp. 174 - 208 [articolo]Open Access
Anderlucci, Laura; Farne, Matteo; Galimberti, Giuliano; Montanari, Angela, Variable Screening in High Dimensional Regression via Random Projection Ensembles, in: CLAD - Associação Portuguesa de Classificação e Análise de Dados, Classification and Data Science in the Digital Age - Book of Abstracts IFCS 2022, 2022, pp. 25 - 25 (atti di: IFCS, Oporto, 19-23/07/2022) [Contributo in Atti di convegno]
Angela Montanari, A Conversation with Adelchi Azzalini and Narayanaswamy Balakrishnan, «STATISTICA», 2020, 80, pp. 131 - 143 [articolo]Open Access
Farne', Matteo; Montanari, A., A large covariance matrix estimator under intermediate spikiness regimes, «JOURNAL OF MULTIVARIATE ANALYSIS», 2020, 176, Article number: 104577, pp. 1 - 20 [articolo]Open Access
Giannerini S.; Montanari A., Introduction to the theme issue: The skew-normal and related distributions, «STATISTICA», 2020, 80, pp. 127 - 130 [articolo]Open Access
Fortunato F.; Anderlucci L.; Montanari A., One-class classification with application to forensic analysis, «JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS», 2020, 69, pp. 1227 - 1249 [articolo]Open Access
Baier, D.; Lausen, B.; Montanari, A.; Schmid, U., Special issue on “Learning in data science: theory, methods and applications”—preface by the guest editors, «ADVANCES IN DATA ANALYSIS AND CLASSIFICATION», 2020, 14, pp. 1 - 4 [articolo]
Laura Anderlucci; Roberta Falcone; Angela Montanari, Random projections of variables and units, in: CLADAG 2019 - Book of short papers, Cassino, 2019, pp. 30 - 33 (atti di: CLADAG 2019, Cassino, 11-13/09/2019) [Contributo in Atti di convegno]
Laura Anderlucci, Matteo Farnè, Giuliano Galimberti, Angela Montanari, Sparse linear regression via random projections ensembles, in: CLADAG 2019 - Book of short papers, 2019, pp. 34 - 37 (atti di: CLADAG 2019, Cassino, 11-13/09/2019) [Contributo in Atti di convegno]
Laura Anderlucci, Angela Montanari, Cinzia Viroli, The Importance of Being Clustered: Uncluttering the Trends of Statistics from 1970 to 2015, «STATISTICAL SCIENCE», 2019, 34, pp. 280 - 300 [articolo]Open Access
Matteo Farnè; Angela Montanari, Matlab package for UNALCE estimator, 2018. [software]
Matteo Farnè; Angela Montanari, R package "grangers", 2018. [software]
Francesco, Palumbo; Angela, Montanari; Maurizio, Vichi., Data Science. Innovative Developments in Data Analysis and Clustering., Cham, Springer, 2017, pp. 342 . [curatela]
