Marialuisa RESTAINO | Publications
Marialuisa RESTAINO Publications
| 2024 | |
| Articolo in rivista | |
| Are outstanding researchers also top teachers? Exploring the link between research quality and teaching quality SOCIO-ECONOMIC PLANNING SCIENCES. Vol. 96 - Article 102098. Pag.1-14 ISSN:0038-0121. | |
| Coccorese, Paolo; Dell'Anno, Roberto; Restaino, Marialuisa | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1016/j.seps.2024.102098 | |
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| 2024 | |
| Contributo in Atti di convegno | |
| Link selection in binary regression models with the Model Confidence Set. In: New perspectives on Statistics and Data Science - Proceedings of the Statistics and Data Science 2024 Conference Palermo: Università degli Studi di Palermo Pag.15-22 ISBN:978-88-5509-645-4 | |
| Statistics and Data Science 2024 Conference Palermo Aprile 2024 | |
| LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
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| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| La mia squadra va in rete. Forme e dimensioni del tifo nei social media.. In I. Primerano, G. Giordano, M. Restaino Fare ricerca sociale sullo sport. Metodologia, tecniche e applicazioni. Pag.123-140 Milano Franco Angeli Ed.. ISBN:9788835159162 | |
| Primerano, I.; Giordano, G.; Restaino, M. | |
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341678Asymmetric Binary Regression Models for Imbalanced Datasets: An Application to Students’ Churn
| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| Asymmetric Binary Regression Models for Imbalanced Datasets: An Application to Students’ Churn. In Cristina Davino, Francesco Palumbo, Adalbert F. X. Wilhelm, Hans A. Kestler Recent Trends and Future Challenges in Learning from Data. ECDA 2022. Studies in Classification, Data Analysis, and Knowledge Organization Pag.63-74 Springer. ISBN:978-3-031-54468-2; 978-3-031-54467-5 | |
| LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-54468-2_6 | |
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| 2024 | |
| Contributo in volume (Capitolo o Saggio) | |
| Variable Selection and Asymmetric Links to Predict Credit Card Fraud. In Mathematical and Statistical Methods for Actuarial Sciences and Finance Pag.198-204 Springer. ISBN:9783031642722 | |
| Giordano, Francesco; LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
| Versione online | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-64273-9_33 | |
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