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Adaptive modelling and forecasting of offshore wind power fluctuations with Markov-switching autoregressive models
Pinson, Pierre; Madsen, Henrik - In: Journal of forecasting 31 (2012) 4, pp. 281-313
Persistent link: https://www.econbiz.de/10009576383
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Testing for common autocorrelation in data-rich environments
Cubadda, Gianluca; Hecq, Alain W. J. - In: Journal of forecasting 30 (2011) 3, pp. 325-335
Persistent link: https://www.econbiz.de/10009233885
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Subset threshold autoregression
So, Mike Ka-pui; Chen, Cathy W. S. - In: Journal of forecasting 22 (2003) 1, pp. 49-66
Persistent link: https://www.econbiz.de/10001737081
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A Bayesian time-varying autoregressive model for improved short-term and long-term prediction
Berninger, Christoph; Stöcker, Almond; Rügamer, David - In: Journal of forecasting 41 (2022) 1, pp. 181-200
Persistent link: https://www.econbiz.de/10012796284
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A threshold stochastic volatility model
So, Mike Ka-pui; Li, Wai Keung; Lam, Kin - In: Journal of forecasting 21 (2002) 7, pp. 473-500
Persistent link: https://www.econbiz.de/10001775843
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Bayesian analysis of a threshold stochastic volatility model
Wirjanto, Tony S.; Kolkiewicz, Adam W.; Men, Zhongxian - In: Journal of forecasting 35 (2016) 5, pp. 462-476
Persistent link: https://www.econbiz.de/10011580989
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Wind power prediction based on wind speed forecast using hidden Markov model
Jahromi, Khatereh Ghasvarian; Gharavian, Davood; … - In: Journal of forecasting 42 (2023) 1, pp. 101-123
Persistent link: https://www.econbiz.de/10013465766
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Benchmark forecast and error modeling
Chen, Zhao-Guo; Wu, Ka Ho - In: Journal of forecasting 36 (2017) 4, pp. 382-394
Persistent link: https://www.econbiz.de/10011860451
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Can forecasting performance be improved by considering the steady state? : an application to Swedish inflation and interest rate
Österholm, Pär - In: Journal of forecasting 27 (2008) 1, pp. 41-51
Persistent link: https://www.econbiz.de/10003738383
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Forecasting US employment growth using forecast combining methods
Rapach, David E.; Strauss, Jack - In: Journal of forecasting 27 (2008) 1, pp. 75-93
Persistent link: https://www.econbiz.de/10003738385