Cira Perna

According to our database, Cira Perna authored at least 17 papers between 2001 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility.

Michele La Rocca, Cira Perna

Proceedings of the Engineering Applications of Neural Networks, 2024

2023

Computational Issues in Insurance and Finance.

Cira Perna, Marilena Sibillo

Comput., 2023

Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines.

Michele La Rocca, Cira Perna

Proceedings of the Engineering Applications of Neural Networks, 2023

2021

Clustering nonlinear time series with neural network bootstrap forecast distributions.

Michele La Rocca, Francesco Giordano, Cira Perna

Int. J. Approx. Reason., 2021

Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets.

Maria Lucia Parrella, Giuseppina Albano, Cira Perna, Michele La Rocca

Comput. Stat., 2021

2019

Volatility Modelling for Air Pollution Time Series.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Computer Aided Systems Theory - EUROCAST 2019, 2019

2017

On the Imputation of Missing Values in Univariate PM_10 P M 10 Time Series.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016

Non Linear Time Series Analysis of Air Pollutants with Missing Data.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

2015

A Sequential Test for Evaluating Air Quality.

Giuseppina Albano, Cira Perna

Proceedings of the Computer Aided Systems Theory - EUROCAST 2015, 2015

2012

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.

Francesco Giordano, Cira Perna, Cosimo Vitale

Stat. Methods Appl., 2012

Testing the Weak Form Market Efficiency: Empirical Evidence from the Italian Stock Exchange.

Giuseppina Albano, Michele La Rocca, Cira Perna

Proceedings of the Neural Nets and Surroundings - 22nd Italian Workshop on Neural Nets, 2012

2008

Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence.

Francesco Giordano, Michele La Rocca, Cira Perna

Proceedings of the New Directions in Neural Networks, 2008

A multiple testing procedure for input variable selection in neural networks.

Michele La Rocca, Cira Perna

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Forecasting nonlinear time series with neural network sieve bootstrap.

Francesco Giordano, Michele La Rocca, Cira Perna

Comput. Stat. Data Anal., 2007

2005

Variable selection in neural network regression models with dependent data: a subsampling approach.

Michele La Rocca, Cira Perna

Comput. Stat. Data Anal., 2005

Neural Network Modeling by Subsampling.

Michele La Rocca, Cira Perna

Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2001

Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach.

Francesco Giordano, Michele La Rocca, Cira Perna

Proceedings of the 12th Italian Workshop on Neural Nets, 2001