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Bootstrapping prediction intervals for autoregressive models
Clements, Michael P.; Taylor, Nicholas - In: International journal of forecasting 17 (2001) 2, pp. 247-267
Persistent link: https://www.econbiz.de/10001575596
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Robust approaches to forecasting
Castle, Jennifer; Clements, Michael P.; Hendry, David F. - In: International journal of forecasting 31 (2015) 1, pp. 99-112
Persistent link: https://www.econbiz.de/10011327440
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Forecasting by factors, by variables, by both or neither?
Castle, Jennifer; Clements, Michael P.; Hendry, David F. - In: Journal of econometrics 177 (2013) 2, pp. 305-319
Persistent link: https://www.econbiz.de/10010255142
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Forecasting economic and financial time-series with non-linear models
Clements, Michael P.; Franses, Philip Hans; Swanson, … - In: International journal of forecasting 20 (2004) 2, pp. 169-183
Persistent link: https://www.econbiz.de/10002033263
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Special issue: Forecasting economic and financial time series using nonlinear methods
Clements, Michael P. (contributor) - 2004
Persistent link: https://www.econbiz.de/10002033285
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Forecasting economic processes
Clements, Michael P. - In: International journal of forecasting 14 (1998) 1, pp. 111-131
Persistent link: https://www.econbiz.de/10001242425
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Forecasting data vintages
Sinclair, Tara M. - In: International journal of forecasting 29 (2013) 4, pp. 715-717
Persistent link: https://www.econbiz.de/10010221296
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Forecasting with vector autoregressive models of data vintages : US output growth and inflation
Clements, Michael P.; Galvão, Ana Beatriz C. - In: International journal of forecasting 29 (2013) 4, pp. 698-714
Persistent link: https://www.econbiz.de/10010221301
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Forecasting GDP growth rates in the United States and Brazil using Google Trends
Bantis, Evripidis; Clements, Michael P.; Urquhart, Andrew - In: International journal of forecasting 39 (2023) 4, pp. 1909-1924
Persistent link: https://www.econbiz.de/10014465341
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Forecasting : theory and practice
Petropoulos, Fotios; Apiletti, Daniele; Assimakopoulos, V. - In: International journal of forecasting 38 (2022) 3, pp. 705-871
Persistent link: https://www.econbiz.de/10013349395