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Cira Perna
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2020 – today
- 2024
- [c10]Michele La Rocca
, Cira Perna
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility. EANN 2024: 504-517 - 2023
- [j6]Cira Perna
Computational Issues in Insurance and Finance. Comput. 11(4): 80 (2023) - [c9]Michele La Rocca
Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines. EANN 2023: 532-547 - 2022
- [e1]Nicola Salvati
Studies in Theoretical and Applied Statistics - SIS 2021, Pisa, Italy, June 21-25. Springer 2022, ISBN 978-3-031-16608-2 [contents] - 2021
- [j5]Maria Lucia Parrella
Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets. Comput. Stat. 36(4): 2917-2938 (2021) - [j4]Michele La Rocca
Clustering nonlinear time series with neural network bootstrap forecast distributions. Int. J. Approx. Reason. 137: 1-15 (2021)
2010 – 2019
- 2019
- [c8]Giuseppina Albano, Michele La Rocca, Cira Perna
Volatility Modelling for Air Pollution Time Series. EUROCAST (1) 2019: 176-184 - 2017
- [c7]Giuseppina Albano, Michele La Rocca, Cira Perna
On the Imputation of Missing Values in Univariate PM_10 P M 10 Time Series. EUROCAST (2) 2017: 12-19 - 2016
- [p1]Giuseppina Albano, Michele La Rocca, Cira Perna
Non Linear Time Series Analysis of Air Pollutants with Missing Data. Advances in Neural Networks 2016: 371-378 - 2015
- [c6]Giuseppina Albano, Cira Perna
A Sequential Test for Evaluating Air Quality. EUROCAST 2015: 143-149 - 2012
- [j3]Francesco Giordano, Cira Perna
A comment on "An analysis of global warming in the Alpine Region based on nonlinear nonstationary time series models" by F. Battaglia and M. K. Protopapas. Stat. Methods Appl. 21(3): 355-361 (2012) - [c5]Giuseppina Albano
Testing the Weak Form Market Efficiency: Empirical Evidence from the Italian Stock Exchange. WIRN 2012: 227-236
2000 – 2009
- 2008
- [c4]Michele La Rocca, Cira Perna:
A multiple testing procedure for input variable selection in neural networks. ESANN 2008: 173-178 - [c3]Francesco Giordano, Michele La Rocca
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence. WIRN 2008: 205-213 - 2007
- [j2]Francesco Giordano, Michele La Rocca
Forecasting nonlinear time series with neural network sieve bootstrap. Comput. Stat. Data Anal. 51(8): 3871-3884 (2007) - 2005
- [j1]Michele La Rocca
Variable selection in neural network regression models with dependent data: a subsampling approach. Comput. Stat. Data Anal. 48(2): 415-429 (2005) - [c2]Michele La Rocca, Cira Perna
Neural Network Modeling by Subsampling. IWANN 2005: 200-207 - 2001
- [c1]Francesco Giordano, Michele La Rocca, Cira Perna:
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach. WIRN 2001: 201-206
Coauthor Index
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