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Semiparametric time series models driven by latent factor
Maia, Gisele de Oliveira; Barreto-Souza, Wagner; … - In: International journal of forecasting 37 (2021) 4, pp. 1463-1479
Persistent link: https://www.econbiz.de/10013274294
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GoodsForecast second-place solution in M5 Uncertainty track : combining heterogeneous models for a quantile estimation task
Mamonov, Nikolay; Golubyatnikov, Evgeny; Kanevskiy, Daniel - In: International journal of forecasting 38 (2022) 4, pp. 1434-1441
Persistent link: https://www.econbiz.de/10014381103
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Testing Granger causality in the presence of threshold effects
Li, Jing - In: International journal of forecasting 22 (2006) 4, pp. 771-780
Persistent link: https://www.econbiz.de/10003385876
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Testing causality between two vectors in multivariate GARCH models
Woźniak, Tomasz - In: International journal of forecasting 31 (2015) 3, pp. 876-894
Persistent link: https://www.econbiz.de/10011474616
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Wind power forecasting using the k-nearest neighbors algorithm
Mangalova, E.; Agafonov, E. - In: International journal of forecasting 30 (2014) 2, pp. 402-406
Persistent link: https://www.econbiz.de/10010510891
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GEFCom2012 : electric load forecasting and backcasting with semi-parametric models
Nedellec, Raphael; Cugliari, Jairo; Goude, Yannig - In: International journal of forecasting 30 (2014) 2, pp. 375-381
Persistent link: https://www.econbiz.de/10010510898
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Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models
Ng, Jason; Forbes, Catherine Scipione; Martin, Gael M.; … - In: International journal of forecasting 29 (2013) 3, pp. 411-430
Persistent link: https://www.econbiz.de/10009787038
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Forecasting financial market activity using a semiparametric fractionally integrated Log-ACD
Feng, Yuanhua; Chen Zhou - In: International journal of forecasting 31 (2015) 2, pp. 349-363
Persistent link: https://www.econbiz.de/10011474104
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Nai͏̈ve, ARIMA, nonparametric, transfer function and VAR models : a comparison of forecasting performance
Thomakos, Dimitrios D.; Guerard, John Baynard - In: International journal of forecasting 20 (2004) 1, pp. 53-67
Persistent link: https://www.econbiz.de/10001918288
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Forecasting high resolution electricity demand data with additive models including smooth and jagged components
Amato, Umberto; Antoniadis, Anestis; De Feis, Italia; … - In: International journal of forecasting 37 (2021) 1, pp. 171-185
Persistent link: https://www.econbiz.de/10012692688