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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