Cira Perna : Citation Profile

Università degli Studi di Salerno (50% share)
Università degli Studi di Salerno (50% share)

3

H index

2

i10 index

100

Citations

RESEARCH PRODUCTION:

11

Articles

3

Papers

11

Chapters

EDITOR:

8

Books edited

RESEARCH ACTIVITY:

   25 years (2000 - 2025). See details.
   Cites by year: 4
   Journals where Cira Perna has often published
   Relations with other researchers
   Recent citing documents: 0.    Total self citations: 4 (3.85 %)

MORE DETAILS IN:
ABOUT THIS REPORT:

   Permalink: http://citec.repec.org/ppe487
   Updated: 2026-10-17    RAS profile: 2026-01-14    
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Relations with other researchers

Works with:

Authors registered in RePEc who have co-authored more than one work in the last five years with Cira Perna.

Is cited by:

Rulliere, Didier (6)

Fabozzi, Frank (5)

Basso, Antonella (3)

Nardon, Martina (3)

Funari, Stefania (3)

Guillen, Montserrat (2)

Figà-Talamanca, Gianna (2)

Loperfido, Nicola (2)

Misiorek, Adam (2)

Otranto, Edoardo (2)

Patacca, Marco (2)

Cites to:

Wolf, Michael (4)

Gallant, A. (2)

Sibillo, Marilena (2)

Yu, Jihai (2)

Winker, Peter (1)

Qu, Xi (1)

Tay, Anthony S (1)

Ruiz, Esther (1)

Goncalves, Silvia (1)

Shaikh, Azeem (1)

Psaradakis, Zacharias (1)

Main data

Where Cira Perna has published?

Journals with more than one article published# docs
Statistical Methods & Applications2
Computational Statistics & Data Analysis2

Recent works citing Cira Perna (2025 and 2024)

YearTitle of citing document

Cira Perna has edited the books:

YearTitleTypeCited

Works by Cira Perna:

YearTitleTypeCited
2005Variable selection in neural network regression models with dependent data: a subsampling approach In: Computational Statistics & Data Analysis.
[Full Text][Citation analysis]		article5
2007Forecasting nonlinear time series with neural network sieve bootstrap In: Computational Statistics & Data Analysis.
[Full Text][Citation analysis]		article10
2022Opening the Black Box: Bootstrapping Sensitivity Measures in Neural Networks for Interpretable Machine Learning In: Stats.
[Full Text][Citation analysis]		article0
2017Mathematical and Statistical Methods for Actuarial Sciences and Finance In: Post-Print.
[Citation analysis]		paper79
2001The hidden layer size in feed-forward neural networks: a statistical point of view In: Metron - International Journal of Statistics.
[Full Text][Citation analysis]		article0
2000INFERENCE BASED ON RESAMPLING TECHNIQUES FOR NEURAL NETWORKS IN REGRESSION MODELS In: Computing in Economics and Finance 2000.
[Full Text][Citation analysis]		paper0
2006A multiple testing procedure for neural network model selection In: Computing in Economics and Finance 2006.
[Citation analysis]		paper0
2021Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets In: Computational Statistics.
[Full Text][Citation analysis]		article0
2019Small sample properties of ML estimator in Vasicek and CIR models: a simulation experiment In: Decisions in Economics and Finance.
[Full Text][Citation analysis]		article1
2021A Comparison Among Alternative Parameters Estimators in the Vasicek Process: A Small Sample Analysis In: Springer Books.
[Citation analysis]		chapter0
2022Exploring Non Linear Structures in Range-Based Volatility Time Series In: Springer Books.
[Citation analysis]		chapter0
2024Evaluating Forecast Distributions in Neural Network Lee-Carter Type Model for Mortality Rate In: Springer Books.
[Citation analysis]		chapter0
2025A Neural Network Model Approach to Longevity Risk Management In: Springer Books.
[Citation analysis]		chapter0
2014Weak Form Efficiency of Selected European Stock Markets: Alternative Testing Approaches In: Springer Books.
[Citation analysis]		chapter0
2014Empirical Evidences on Predictive Accuracy of Survival Models In: Springer Books.
[Citation analysis]		chapter0
2018Small Sample Analysis in Diffusion Processes: A Simulation Study In: Springer Books.
[Citation analysis]		chapter0
2008Neural Network Modelling with Applications to Euro Exchange Rates In: Springer Books.
[Citation analysis]		chapter0
2010Nonparametric prediction in time series analysis: some empirical results In: Springer Books.
[Citation analysis]		chapter0
2012On the estimation in continuous limit of GARCH processes In: Springer Books.
[Citation analysis]		chapter0
2012Nonparametric estimation of volatility functions: Some experimental evidences In: Springer Books.
[Citation analysis]		chapter0
2012A 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 In: Statistical Methods & Applications.
[Full Text][Citation analysis]		article0
2019Reconstructing missing data sequences in multivariate time series: an application to environmental data In: Statistical Methods & Applications.
[Full Text][Citation analysis]		article1
2011Properties of the neural network sieve bootstrap In: Journal of Nonparametric Statistics.
[Full Text][Citation analysis]		article0
2021On the estimation of non linear functions in stochastic volatility models In: Communications in Statistics - Theory and Methods.
[Full Text][Citation analysis]		article0
2025Neural network Lee–Carter model and the actuarial relevance of longevity risk assessment In: Scandinavian Actuarial Journal.
[Full Text][Citation analysis]		article0

CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated August, 20 2026. Contact: CitEc Team