ADMD: A New Dynamic Mode Decomposition Method Based on Model Averaging
Author:
Affiliation:
1. School of Economics and Management, Wuhan University, China
2. School of Future Technology, Huazhong University of Science and Technology, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3644523.3644590
Reference15 articles.
1. Havranek T. Stanley T. Doucouliagos C. Bom P. Jerome Geyerkglingeberg & Iwasaki I. 2020. Reporting guidelines for meta-analysis in economics.
2. SCHMID P. 2010. Dynamic mode decomposition of numerical and experimental data. Journal of Fluid Mechanics 656 5-28. doi:10.1017/S0022112010001217
3. Steel Mark F J. 2020. "Model Averaging and Its Use in Economics." Journal of Economic Literature 58 (3): 644-719. DOI: 10.1257/jel.20191385
4. Bagheri Naghneh A. & Davoodi S. M. R. 2022. Clarification of a profitable trading system based on dynamic analysis. Advances in Finance and Investment 3(6) 78-53. doi: 10.30495/afi.2022.1947103.1074
5. A Data–Driven Approximation of the Koopman Operator: Extending Dynamic Mode Decomposition
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