Foto del docente

Angela Montanari

Professoressa ordinaria

Dipartimento di Scienze Statistiche "Paolo Fortunati"

Settore scientifico disciplinare: SECS-S/01 STATISTICA

Pubblicazioni

Angela Montanari, A Conversation with Adelchi Azzalini and Narayanaswamy Balakrishnan, «STATISTICA», 2020, 80, pp. 131 - 143 [articolo]

Farne M.; Montanari A., A large covariance matrix estimator under intermediate spikiness regimes, «JOURNAL OF MULTIVARIATE ANALYSIS», 2020, 176, pp. N/A - N/A [articolo]

Giannerini S.; Montanari A., Introduction to the theme issue: The skew-normal and related distributions, «STATISTICA», 2020, 80, pp. 127 - 130 [articolo]

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]

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; francesca fortunato; angela montanari, High-dimensional model-based clustering via random projections, in: CLADAG 2019 - Book of short papers, Centro Editoriale di Ateneo Università di Cassino e del Lazio Meridionale, 2019, pp. 38 - 41 (atti di: CLADAG 2019, Cassino, 11-13 Settembre 2019) [Contributo in Atti di convegno]

Angela montanari, laura anderlucci, roberta falcone, Matrix sketching as a tool for big data multivariate analysis, in: Programme, 2019, pp. 1 - 1 (atti di: CARME 2019, Stellenbosch (South Africa), 4 - 6 Febbraio 2019) [atti di convegno-abstract]

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]

Matteo Farnè; Angela Montanari, A bootstrap test to detect prominent Granger-causalities across frequencies, 2018. [rapporto tecnico]

Matteo Farnè; Angela Montanari, A large covariance matrix estimator under intermediate spikiness regimes, 2018. [rapporto tecnico]

Laura Anderlucci; Angela Montanari; Francesca Fortunato, Ensemble Classification with Random Projections: classifier selection and variable importance, in: HDSD workshop, Poster Session, Book of Abstracts, 2018(atti di: High Dimensional Small Data, Venice, 19-20 October 2018) [atti di convegno-poster]

Matteo Farnè;Angela Montanari, Factor model estimation by composite minimization, in: Factor model estimation by composite minimization, 2018(atti di: Theoretical and algorithmic underpinnings of Big Data, Cambridge, 15 -19 January 2018) [atti di convegno-poster]

Matteo Farnè;Angela Montanari, Factor model estimation by composite minimization, in: PROGRAMME AND ABSTRACTS, 2018, pp. 5 - 5 (atti di: CRoNoS Workshop and Spring Course on Multivariate Data Analysis and Software (CRoNoS MDA 2018), Limassol, 3-5 April) [atti di convegno-abstract]