Forecasting China's foreign trade volume with a kernel-based hybrid econometric-AI ensemble learning approach

DOI10.1007/s11424-008-9062-5zbMath1173.91419OpenAlexW1980208815MaRDI QIDQ1031961

Kin Keung Lai, Lean Yu, Shou-Yang Wang

Publication date: 23 October 2009

Published in: Journal of Systems Science and Complexity (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11424-008-9062-5

zbMATH Keywords

artificial neural networkssupport vector regressionkernel-based methoderror-correction vector auto-regressionforeign trade predictionhybrid ensemble learning

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Learning and adaptive systems in artificial intelligence (68T05) Trade models (91B60)

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Transport costs and China's exports: some empirical evidences, A hierarchical forecasting model for China's foreign trade, Foreign trade survey data: do they help in forecasting exports and imports?

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