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

DOI10.1016/j.csda.2004.01.004zbMath1429.62143OpenAlexW1981980215MaRDI QIDQ957121

Michele La Rocca, Cira Perna

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2004.01.004

zbMATH Keywords

artificial neural networksdependent datasubsampling

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08)

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Cites Work

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• On the asymptotic accuracy of Efron's bootstrap
• Subsampling
• Mixing: Properties and examples
• The hidden layer size in feed-forward neural networks: A statistical point of view
• Multilayer feedforward networks are universal approximators
• Approximation Theorems of Mathematical Statistics
• Universal approximation bounds for superpositions of a sigmoidal function
• Topics in Advanced Econometrics
• Artificial neural networks: an econometric perspective^∗

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