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

, and . Computational Statistics & Data Analysis, 48 (2): 415--429 (Feb 1, 2005)

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Forecasting nonlinear time series with neural network sieve bootstrap, , and . Computational Statistics & Data Analysis, 51 (8): 3871--3884 (May 1, 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)Standard Error Estimation in Neural Network Regression Models: the AR-Sieve Bootstrap Approach., , and . WIRN, page 201-206. Springer, (2001)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)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)Variable selection in neural network regression models with dependent data: a subsampling approach, and . Computational Statistics & Data Analysis, 48 (2): 415--429 (Feb 1, 2005)Bootstrap joint prediction regions for sequences of missing values in spatio-temporal datasets., , , and . Comput. Stat., 36 (4): 2917-2938 (2021)Neural Network Sieve Bootstrap Prediction Intervals: Some Real Data Evidence., , and . WIRN, volume 193 of Frontiers in Artificial Intelligence and Applications, page 205-213. IOS Press, (2008)