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Inflation and unemployment forecasting with genetic support vector regression
Sermpinis, Georgios; Stasinakis, Charalampos; … - In: Journal of forecasting 33 (2014) 6, pp. 471-487
Persistent link: https://www.econbiz.de/10010426238
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Using deep (machine) learning to forecast US inflation in the COVID-19 era
Stoneman, David; Duca, John V. - In: Journal of forecasting 43 (2024) 4, pp. 894-902
Persistent link: https://www.econbiz.de/10014554047
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Nonlinear inflation forecasting with recurrent neural networks
Almosova, Anna; Andresen, Niek - In: Journal of forecasting 42 (2023) 2, pp. 240-259
Persistent link: https://www.econbiz.de/10014292150
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Forecasting Markov switching vector autoregressions : evidence from simulation and application
Cavicchioli, Maddalena - In: Journal of forecasting 44 (2025) 1, pp. 136-152
Persistent link: https://www.econbiz.de/10015374001
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The informational content of the term spread in forecasting the US inflation rate : a nonlinear approach
Plakandaras, Vasilios; Gkonkas, Periklēs; … - In: Journal of forecasting 36 (2017) 2, pp. 109-121
Persistent link: https://www.econbiz.de/10011729092
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Forecast combination for euro area inflation : a cure in times of crisis?
Hubrich, Kirstin; Skudelny, Frauke - In: Journal of forecasting 36 (2017) 5, pp. 515-540
Persistent link: https://www.econbiz.de/10011860674
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Forecasting inflation and output growth with credit-card-augmented Divisia monetary aggregates
Barnett, William A.; Park, Sohee - In: Journal of forecasting 42 (2023) 2, pp. 331-346
Persistent link: https://www.econbiz.de/10014292178
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Uncertainty and forecastability of regional output growth in the UK : evidence from machine learning
Balcilar, Mehmet; Gabauer, David; Gupta, Rangan; … - In: Journal of forecasting 41 (2022) 6, pp. 1049-1064
Persistent link: https://www.econbiz.de/10013465678
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A novel robust structural quadratic forecasting model and applications
Jiang, He - In: Journal of forecasting 41 (2022) 6, pp. 1156-1180
Persistent link: https://www.econbiz.de/10013465690
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A generalized two-factor square-root framework for modeling occurrences of natural catastrophes
Orlando, Giuseppe; Bufalo, Michele - In: Journal of forecasting 41 (2022) 8, pp. 1608-1622
Persistent link: https://www.econbiz.de/10013465727