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Mathematical optimization for time series decomposition
Gozuyilmaz, Seyma; Kundakcioglu, O. Erhun - In: OR spectrum : quantitative approaches in management 43 (2021) 3, pp. 733-758
Persistent link: https://www.econbiz.de/10012622293
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Pricing filtering in Dantzig-Wolfe decomposition
Bulaich Mehamdi, Abdellah; Lacroix, Mathieu; Martin, … - In: Operations research letters : a journal of INFORMS … 58 (2025), pp. 1-7
Persistent link: https://www.econbiz.de/10015358585
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Estimation of the potential GDP by a new robust filter method
Gyurkovics, Éva; Takács, Tibor - In: Central European journal of operations research 31 (2023) 4, pp. 1183-1207
Persistent link: https://www.econbiz.de/10014393025
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A fast temporal decomposition procedure for long-horizon nonlinear dynamic programming
Na, Sen; Anitescu, Mihai; Kolar, Mladen - In: Mathematics of operations research 49 (2024) 2, pp. 1012-1044
Persistent link: https://www.econbiz.de/10014564928
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Measuring German business cycles: 1960 - 1994
Funke, Michael - In: Währung und wirtschaftliche Entwicklung : Festschrift …, (pp. 189-208). 2000
Persistent link: https://www.econbiz.de/10001501980
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Forecast evaluations for volatile time series : a generalized Theil decomposition
Polasek, Wolfgang - 1999
Persistent link: https://www.econbiz.de/10001433671
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Kernel- and locally weighted regression : with application to time series decomposition
Feng, Yuanhua - 1999 - 1. Aufl.
Persistent link: https://www.econbiz.de/10001460898
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A robust data-driven version of the Berlin Method
Feng, Yuanhua; Heiler, Siegfried - 2000
Persistent link: https://www.econbiz.de/10001485227
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How can we extract a fundamental trend from an economic time series?
Higo, Masahiro; Nakada, Sachiko Kuroda - 1998
Persistent link: https://www.econbiz.de/10000987546