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

, and . Comput. Stat. Data Anal., 48 (2): 415-429 (2005)

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Forecasting nonlinear time series with neural network sieve bootstrap., , and . Comput. Stat. Data Anal., 51 (8): 3871-3884 (2007)A multiple testing procedure for input variable selection in neural networks., and . ESANN, page 173-178. (2008)A Sequential Test for Evaluating Air Quality., and . EUROCAST, volume 9520 of Lecture Notes in Computer Science, page 143-149. Springer, (2015)Variable selection in neural network regression models with dependent data: a subsampling approach., and . Comput. Stat. Data Anal., 48 (2): 415-429 (2005)A comment on Än analysis of global warming in the Alpine Region based on nonlinear nonstationary time series models" by F. Battaglia and M. K. Protopapas., , and . Stat. Methods Appl., 21 (3): 355-361 (2012)Neural Network Bootstrap Forecast Distributions with Extreme Learning Machines., and . EANN, volume 1826 of Communications in Computer and Information Science, page 532-547. Springer, (2023)Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach., , and . WIRN, page 201-206. Springer, (2001)Clustering nonlinear time series with neural network bootstrap forecast distributions., , and . Int. J. Approx. Reason., (2021)Non Linear Time Series Analysis of Air Pollutants with Missing Data., , and . Advances in Neural Networks, volume 54 of Smart Innovation, Systems and Technologies, Springer, (2016)Neural Network Modeling by Subsampling., and . IWANN, volume 3512 of Lecture Notes in Computer Science, page 200-207. Springer, (2005)