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Cira Perna
ORCID
Publication Activity (10 Years)
Years Active: 2001-2024
Publications (10 Years): 7
Top Topics
Neural Network
Arima Model
Missing Values
Air Pollution
Top Venues
EANN
EUROCAST (2)
Int. J. Approx. Reason.
EUROCAST (1)
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Publications
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Michele La Rocca
,
Cira Perna
Evaluating Forecast Distributions in Neural Network HAR-Type Models for Range-Based Volatility.
EANN
(2024)
Cira Perna
,
Marilena Sibillo
Computational Issues in Insurance and Finance.
Comput.
11 (4) (2023)
Michele La Rocca
,
Cira Perna
Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines.
EANN
(2023)
Michele La Rocca
,
Francesco Giordano
,
Cira Perna
Clustering nonlinear time series with neural network bootstrap forecast distributions.
Int. J. Approx. Reason.
137 (2021)
Maria Lucia Parrella
,
Giuseppina Albano
,
Cira Perna
,
Michele La Rocca
Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets.
Comput. Stat.
36 (4) (2021)
Giuseppina Albano
,
Michele La Rocca
,
Cira Perna
Volatility Modelling for Air Pollution Time Series.
EUROCAST (1)
(2019)
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)
Giuseppina Albano
,
Cira Perna
A Sequential Test for Evaluating Air Quality.
EUROCAST
(2015)
Giuseppina Albano
,
Michele La Rocca
,
Cira Perna
Testing the Weak Form Market Efficiency: Empirical Evidence from the Italian Stock Exchange.
WIRN
(2012)
Francesco Giordano
,
Cira Perna
,
Cosimo Vitale
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) (2012)
Francesco Giordano
,
Michele La Rocca
,
Cira Perna
Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence.
WIRN
(2008)
Michele La Rocca
,
Cira Perna
A multiple testing procedure for input variable selection in neural networks.
ESANN
(2008)
Francesco Giordano
,
Michele La Rocca
,
Cira Perna
Forecasting nonlinear time series with neural network sieve bootstrap.
Comput. Stat. Data Anal.
51 (8) (2007)
Michele La Rocca
,
Cira Perna
Variable selection in neural network regression models with dependent data: a subsampling approach.
Comput. Stat. Data Anal.
48 (2) (2005)
Michele La Rocca
,
Cira Perna
Neural Network Modeling by Subsampling.
IWANN
(2005)
Francesco Giordano
,
Michele La Rocca
,
Cira Perna
Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach.
WIRN
(2001)