Foto del docente

Matteo Farnè

Senior assistant professor (fixed-term)

Department of Statistical Sciences "Paolo Fortunati"

Academic discipline: SECS-S/01 Statistics


Matteo Farne; Meng Yang, Comparing How Python and R Estimate Granger-Causality in the Frequency Domain, in: Computing, Internet of Things and Data Analytics. ICCIDA 2023. Studies in Computational Intelligence, Cham, Springer, 2024, pp. 213 - 222 [Chapter or essay]

Farne, Matteo; Vouldis, Angelos, Challenges in Using High-Dimensional Clustering Methods to Identify Banks’ Business Models, in: Sage Research Methods: Business, London, SAGE Publications, Ltd., 2023, pp. N/A - N/A [Chapter or essay]

Gioia Taraborrelli; Matteo farne, Educational Data Mining: clustering students’ performance over time, in: BOOK OF SHORT PAPERS, 2023, pp. 490 - 495 (atti di: 11th Scientific Meeting of the SIS Group "Statistics for the Evaluation and Quality in Services", Pescara, 30 agosto-1 settembre 2023) [Contribution to conference proceedings]

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]

Federica Biazzo; Matteo Farne, Predicting musical genres from Spotify data by statistical machine learning, in: Proceedings of the Statistics and Data Science Conference, 2023, pp. 236 - 241 (atti di: Statistics and Data Science Conference, Pavia, 27-28 aprile 2023) [Contribution to conference proceedings]

Farne Matteo; Vouldis A., ROBOUT: a conditional outlier detection methodology for high-dimensional data, «STATISTICAL PAPERS», 2023, online first, pp. 1 - 37 [Scientific article]Open Access

Matteo Farne; Angelos Vouldis, ROBOUT: a step-wise methodology for conditional outlier detection, in: Book of the Short Papers, 2023, pp. 450 - 455 (atti di: SIS 2023 - Statistical Learning, Sustanaibility and Impact Evolution, Ancona, 21-23 giugno 2023) [Contribution to conference proceedings]

Federica Biazzo; Matteo Farne, Redesigning Spotify “Mood” playlists by statistical machine learning, in: Proceedings of the International Conference on New Music Concepts 2023, Treviso, Accademia Musicale Studio Musica, 2023, pp. 75 - 94 [Chapter or essay]

Matteo Farne, TRIMMED FACTORIAL K-MEANS, in: BOOK OF ABSTRACTS AND SHORT PAPERS, 2023, pp. 148 - 151 (atti di: CLADAG 2023 - 14th Scientific Meeting of the Classification and Data Analysis Group, Salerno, 11-13 settembre 2023) [Contribution to conference proceedings]

Farnè, Marianna; Fortunato, Fernanda; Neri, Marcella; Farne, Matteo; Balla, Cristina; Albamonte, Emilio; Barp, Andrea; Armaroli, Annarita; Perugini, Enrica; Carinci, Valeria; Facchini, Marco; Chiarini, Luca; Sansone, Valeria A; Straudi, Sofia; Tugnoli, Valeria; Sette, Elisabetta; Sensi, Mariachiara; Bertini, Matteo; Evangelista, Teresinha; Ferlini, Alessandra; Gualandi, Francesca, TeleNEwCARe: An Italian case-control telegenetics study in patients with Hereditary NEuromuscular and CArdiac diseases, «EUROPEAN JOURNAL OF MEDICAL GENETICS», 2023, 66, Article number: 104749 , pp. 1 - 7 [Scientific article]

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

Enrico Bernardi; Matteo Farne, A Log-Det Heuristics for Covariance Matrix Estimation: The Analytic Setup, «STATS», 2022, 5, pp. 606 - 616 [Scientific article]

Barigozzi, Matteo; Farne, Matteo, An algebraic estimator for large spectral density matrices, «JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION», 2022, NA, pp. 1 - 37 [Scientific article]Open Access

Gioia Taraborrelli; Matteo Farne, Come sfruttare gli Educational Data ? Un inquadramento di usi e metodologie di analisi, «INDUZIONI», 2022, 62/63, pp. 27 - 39 [Scientific article]