Cira Perna

发表

A Two-Step Procedure for Neural Network Modeling

Michele La Rocca, Cira Perna, 2012 .

Standard error estimation in neural network regression models: the moving block bootstrap approach

Francesco Giordano, Michele La Rocca, Cira Perna, 2001 .

Nonparametric estimation of volatility functions: Some experimental evidences

Francesco Giordano, Michele La Rocca, Cira Perna, 2012 .

Neural networks with dependent data

Michele La Rocca, Cira Perna, 2002 .

Nonparametric prediction in time series analysis: some empirical results

Cira Perna, Marcella Niglio, 2010 .

Non parametric inference in diﬀusion processes: bootstrap performance in short time series

Michele La Rocca, Cira Perna, Giuseppina Albano, 2017 .

Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence

Francesco Giordano, Michele La Rocca, Cira Perna, 2009, WIRN.

Bootstrap prediction intervals with neural networks in nonlinear time series

Francesco Giordano, Michele La Rocca, Cira Perna, 2003 .

Designing neural networks for modeling biological data: a statistical perspective.

Cira Perna, Michele La Rocca, M. La Rocca, 2013, Mathematical biosciences and engineering : MBE.

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

Michele La Rocca, Cira Perna, Giuseppina Albano, 2012, WIRN.

Bootstrap Variables Selection in Neural Network Regression Models

Francesco Giordano, Michele La Rocca, Cira Perna, 2004 .

Weak Form Efficiency of Selected European Stock Markets: Alternative Testing Approaches

Michele La Rocca, Cira Perna, Giuseppina Albano, 2014 .

Value-at-Risk Inference with NN-Sieve Bootstrap

Francesco Giordano, Michele La Rocca, Cira Perna, 2011 .

A multiple testing procedure for neural network model selection

Michele La Rocca, Cira Perna, 2006 .

Estimating the Conditional Mean of a Non-linear Time Series Using Neural Networks

Francesco Giordano, Cira Perna, 1999 .

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

Michele La Rocca, Cira Perna, 2005, Comput. Stat. Data Anal..

Neural Network Modelling with Applications to Euro Exchange Rates

Michele La Rocca, Cira Perna, M. Rocca, 2008 .

Neural Network Models for Financial data

Michele La Rocca, Cira Perna, Giuseppina Albano, 2012 .

Neural Networks and Bootstrap Methods for Regression Models with Dependent Errors

Francesco Giordano, Michele La Rocca, Cira Perna, 2009 .

Volatility Modelling for Air Pollution Time Series

Michele La Rocca, Cira Perna, Giuseppina Albano, 2019, EUROCAST.

The hidden layer size in feed-forward neural networks: a statistical point of view.

Francesco Giordano, Cira Perna, 1999 .

Test procedure to select the input variables in neural networks for dependent data

Michele La Rocca, Cira Perna, 2002 .

Estimating smooth functions of sample mean in diffusion processes: a MBB approach

Cira Perna, Giuseppina Albano, Francesco Giordano, 2010 .

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, 2012, Stat. Methods Appl..

Reconstructing missing data sequences in multivariate time series: an application to environmental data

Maria Lucia Parrella, Cira Perna, Giuseppina Albano, 2018, Statistical Methods & Applications.

Forecasting nonlinear time series with neural network sieve bootstrap

Francesco Giordano, Michele La Rocca, Cira Perna, 2007, Comput. Stat. Data Anal..

Parametric and Non-Parametric Methods in Non-linear Time Series Analysis: a Critical evaluation

Francesco Giordano, Cira Perna, Alessandra Amendola, 1998 .

Modelling Complex Structures by Artificial Neural Networks

Michele La Rocca, Cira Perna, M. Rocca, 2006 .

Bootstrap inference for missing data reconstruction

Maria Lucia Parrella, Michele La Rocca, Cira Perna, 2019 .

A Sequential Test for Evaluating Air Quality

Cira Perna, Giuseppina Albano, C. Perna, 2015, EUROCAST.

Non Linear Time Series Analysis of Air Pollutants with Missing Data

Michele La Rocca, Cira Perna, Giuseppina Albano, 2016, Advances in Neural Networks.

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

Cira Perna, Giuseppina Albano, M. La Rocca, 2017, EUROCAST.

A multiple testing procedure for input variable selection in neural networks

Michele La Rocca, Cira Perna, 2008, ESANN.

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

Francesco Giordano, Michele La Rocca, Cira Perna, 2001, WIRN.

Neural network architecture selection for nonlinear time series

Michele La Rocca, Cira Perna, 2009 .

Neural Network Modeling by Subsampling

Michele La Rocca, Cira Perna, 2005, IWANN.

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

Maria Lucia Parrella, Cira Perna, Giuseppina Albano, 2021 .

Clustering nonlinear time series with neural network bootstrap forecast distributions

Francesco Giordano, Michele La Rocca, Cira Perna, 2021, Int. J. Approx. Reason..

Input Variable Selection in Neural Network Models

Francesco Giordano, Michele La Rocca, Cira Perna, 2014 .