Ciocca L.; Maltauro M.; Cimini V.; Breschi L.; Montanari A.; Anderlucci L.; Meneghello R., Analysis of the trueness and precision of complete denture bases manufactured using digital and analog technologies, «THE JOURNAL OF ADVANCED PROSTHODONTICS», 2023, 15, pp. 22 - 32 [Scientific article]Open Access
Ciocca L.; Maltauro M.; Pierantozzi E.; Breschi L.; Montanari A.; Anderlucci L.; Meneghello R., Evaluation of trueness and precision of removable partial denture metal frameworks manufactured with digital technology and different materials, «THE JOURNAL OF ADVANCED PROSTHODONTICS», 2023, 15, pp. 55 - 62 [Scientific article]Open Access
Farne, Matteo; Montanari, Angela, High‐dimensional regression coefficient estimation by nuclear norm plus l1 norm penalization, «STAT», 2023, 12, pp. 1 - 11 [Scientific article]Open Access
Farne, Matteo; Montanari, Angela, Large factor model estimation by nuclear norm plus ℓ1 norm penalization, «JOURNAL OF MULTIVARIATE ANALYSIS», 2023, N/A, pp. 105244 - N/A [Scientific article]
Laura Anderlucci, Silvia Dallari, Angela Montanari, View it differently: finding groups in microbiome data, in: CLADAG 2023 BOOK OF ABSTRACTS AND SHORT PAPERS, Pearson Education Resources, Italia, 2023, pp. 34 - 37 (atti di: CLADAG 2023, Salerno, 11-13 Settembre 2023) [Contribution to conference proceedings]
Matteo Farnè; Angela Montanari, A Bootstrap Method to Test Granger-Causality in the Frequency Domain, «COMPUTATIONAL ECONOMICS», 2022, 59, pp. 935 - 966 [Scientific article]Open Access
Anderlucci L.; Fortunato F.; Montanari A., High-Dimensional Clustering via Random Projections, «JOURNAL OF CLASSIFICATION», 2022, 39, pp. 191 - 216 [Scientific article]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 [Scientific article]Open Access
Angela Montanari, A Conversation with Adelchi Azzalini and Narayanaswamy Balakrishnan, «STATISTICA», 2020, 80, pp. 131 - 143 [Scientific article]Open Access
Farné Matteo; Montanari A., A large covariance matrix estimator under intermediate spikiness regimes, «JOURNAL OF MULTIVARIATE ANALYSIS», 2020, 176, Article number: 104577 , pp. 1 - 20 [Scientific article]Open Access
Giannerini S.; Montanari A., Introduction to the theme issue: The skew-normal and related distributions, «STATISTICA», 2020, 80, pp. 127 - 130 [Scientific article]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 [Scientific article]
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 [Scientific article]
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) [Contribution to conference proceedings]
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) [Contribution to conference proceedings]
