Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model

Jie Li; Yunquan Song; Ling Jian

doi:10.1007/s11222-024-10500-x

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Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model

Jie Li Yunquan Song Ling Jian

Year: 2024 Journal: Statistics and Computing Vol: 34 (6) Publisher: Springer Science+Business Media

DOI: 10.1007/s11222-024-10500-x

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Keywords:

Autoregressive model Artificial neural network Nonparametric statistics Model selection Feature selection STAR model Artificial intelligence Computer science Selection (genetic algorithm) SETAR Nonlinear autoregressive exogenous model Econometrics Variable (mathematics) Machine learning Mathematics Pattern recognition (psychology) Autoregressive integrated moving average Time series

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Spatial and Panel Data Analysis

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Land Use and Ecosystem Services

Physical Sciences → Environmental Science → Global and Planetary Change

Energy, Environment, Economic Growth

Social Sciences → Economics, Econometrics and Finance → Economics and Econometrics

Deep neural networks for variable selection of higher-order nonparametric spatial autoregressive model

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