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Bootstrap prediction intervals for autoregressive models of unknown or infinite lag order
Kim, Jae H. - In: Journal of forecasting 21 (2002) 4, pp. 265-280
Persistent link: https://www.econbiz.de/10001700330
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Bias-corrected bootstrap prediction regions for vector autoregression
Kim, Jae H. - In: Journal of forecasting 23 (2004) 2, pp. 141-154
Persistent link: https://www.econbiz.de/10001980729
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Are national or regional surveys useful for nowcasting regional jobseekers? : the case of the French region of Pays-de-la-Loire
Cariou, Clément; Charles, Amélie; Darné, Olivier - In: Journal of forecasting 43 (2024) 6, pp. 2341-2357
Persistent link: https://www.econbiz.de/10015110452
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Bias-corrected bootstrap prediction intervals for autoregressive model : new alternatives with applications to tourism forecasting
Kim, Jae H.; Song, Haiyang; Wong, Kevin - In: Journal of forecasting 29 (2010) 7, pp. 655-672
Persistent link: https://www.econbiz.de/10008935428
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Forecasts of the seasonal fractional integrated series
Darné, Olivier; Guiraud, Vivien; Terraza, Michel - In: Journal of forecasting 23 (2004) 1, pp. 1-17
Persistent link: https://www.econbiz.de/10001880068
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Are disaggregate data useful for factor analysis in forecasting French GDP?
Barhoumi, Karim; Darné, Olivier; Ferrara, Laurent - In: Journal of forecasting 29 (2010) 1/2, pp. 132-144
Persistent link: https://www.econbiz.de/10003951824
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Forecasting volatility with outliers in GARCH models
Charles, Amélie - In: Journal of forecasting 27 (2008) 7, pp. 551-565
Persistent link: https://www.econbiz.de/10003779588
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Forecasting volatility with outliers in GARCH models
Charles, Amélie - In: Journal of forecasting 27 (2008) 7, pp. 551-565
Persistent link: https://www.econbiz.de/10008134948
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Bias-corrected bootstrap prediction regions for vector autoregression
Kim, Jae H. - In: Journal of forecasting 23 (2004) 2, pp. 141
Persistent link: https://www.econbiz.de/10006883325
Cover Image
Bootstrap prediction intervals for autoregressive models of unknown or infinite lag order
Kim, Jae H. - In: Journal of forecasting 21 (2002) 4, pp. 265-280
Persistent link: https://www.econbiz.de/10006894430