Michele LA ROCCA | Publications
Michele LA ROCCA Publications
| 2023 | |
| Articolo in rivista | |
| Bootstrapping binary GEV regressions for imbalanced datasets COMPUTATIONAL STATISTICS. Pag.1-33 ISSN:1613-9658. | |
| La Rocca, M.; Niglio, Marcella; Restaino, Marialuisa | |
| Digital Object Identifier (DOI): 10.1007/s00180-023-01330-y Codice identificativo ISI: WOS:000987486700001 Codice identificativo SCOPUS: 2-s2.0-85147375900 | |
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| 2023 | |
| Articolo in rivista | |
| Segmenting with big data analytics and Python: A quantitative exploratory analysis of household savings TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. Vol. 191. Pag.1-10 ISSN:0040-1625. | |
| Cuomo, M. T.; Tortora, D.; Colosimo, I.; Ricciardi Celsi, L.; Genovino, C.; Festa, G.; La Rocca, M. | |
| Digital Object Identifier (DOI): 10.1016/j.techfore.2023.122431 Codice identificativo ISI: WOS:000955286800001 Codice identificativo SCOPUS: 2-s2.0-85149981341 | |
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| 2023 | |
| Contributo in Atti di convegno | |
| Fractional random weight bootstrap in presence of asymmetric link functions. In: Proceedings of the Statistics and Data Science Conference Egea SpA for Pavia University Press Pag.1-6 ISBN:978-88-6952-170-6 | |
| SDS - Statistics and Data Science Pavia 27-28 aprile 2023 | |
| LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
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| 2023 | |
| Contributo in Atti di convegno | |
| An analysis of student’s performance in bachelor’s degree. In: Book of Short papers 11th International Conference IES 2023 Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3) IlViandante Pag.59-64 ISBN:9791280333698 | |
| IES 2023 - Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3) Pescara 30 Agosto-01 Settembre 2023 | |
| LA ROCCA, Michele; Niglio, Marcella; Restaino, Marialuisa | |
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| 2023 | |
| Contributo in volume (Capitolo o Saggio) | |
| Neural Networks in Nonlinear Time Series: A Subsampling Model Selection Procedure. In J. Rocha, S. Oliveira, C. M. Viana Time Series Analysis - Recent Advances, New Perspectives and Applications Pag.1-20 IntechOpen. | |
| La Rocca, M.; Perna, C. | |
| Digital Object Identifier (DOI): 10.5772/intechopen.1002540 | |
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| 2023 | |
| Contributo in volume (Capitolo o Saggio) | |
| Time Series Clustering Based on Forecast Distributions: An Empirical Analysis on Production Indices for Construction. In Statistical Models and Methods for Data Science, Studies in Classification, Data Analysis, and Knowledge Organization Pag.81-92 Cham, Switzerland Springer. ISBN:978-3-031-30163-6 | |
| LA ROCCA, Michele; Giordano, Francesco; Cira Perna, And | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-30164-3_7 | |
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| 2023 | |
| Contributo in volume (Capitolo o Saggio) | |
| Forecasting Mortality with Autoencoders: An Application to Italian Mortality Data. In A. Esposito, M. Faundez-Zanuy, F. C. Morabito, E. Pasero Applications of Artificial Intelligence and Neural Systems to Data Science Pag.173-182 Springer Singapore. ISSN:2190-3018. | |
| LA ROCCA, Michele; Perna, Cira; Sibillo, Marilena; Vignes, Antonio | |
| Digital Object Identifier (DOI): 10.1007/978-981-99-3592-5 | |
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| 2023 | |
| Contributo in volume (Capitolo o Saggio) | |
| Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines. In L. Iliadis, I. Maglogiannis, S. Alonso, C. Jayne, E. Pimenidis Engineering Applications of Neural Networks. Communications in Computer and Information Science Pag.532-547 Springer Cham. | |
| LA ROCCA, Michele; Perna, Cira | |
| Digital Object Identifier (DOI): 10.1007/978-3-031-34204-2_43 | |
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