Cira Perna

Orcid: 0000-0001-8496-0321

According to our database1, Cira Perna authored at least 17 papers between 2001 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility.
Proceedings of the Engineering Applications of Neural Networks, 2024

2023
Computational Issues in Insurance and Finance.
Comput., 2023

Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines.
Proceedings of the Engineering Applications of Neural Networks, 2023

2021
Clustering nonlinear time series with neural network bootstrap forecast distributions.
Int. J. Approx. Reason., 2021

Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets.
Comput. Stat., 2021

2019
Volatility Modelling for Air Pollution Time Series.
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.
Proceedings of the Computer Aided Systems Theory - EUROCAST 2017, 2017

2016
Non Linear Time Series Analysis of Air Pollutants with Missing Data.
Proceedings of the Advances in Neural Networks - Computational Intelligence for ICT, 2016

2015
A Sequential Test for Evaluating Air Quality.
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.
Stat. Methods Appl., 2012

Testing the Weak Form Market Efficiency: Empirical Evidence from the Italian Stock Exchange.
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.
Proceedings of the New Directions in Neural Networks, 2008

A multiple testing procedure for input variable selection in neural networks.
Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007
Forecasting nonlinear time series with neural network sieve bootstrap.
Comput. Stat. Data Anal., 2007

2005
Variable selection in neural network regression models with dependent data: a subsampling approach.
Comput. Stat. Data Anal., 2005

Neural Network Modeling by Subsampling.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005

2001
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach.
Proceedings of the 12th Italian Workshop on Neural Nets, 2001


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