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Bayesian forecasting of US growth using basic time varying parameter models and expectations data
Basturk, Nalan; Ceyhan, Pinar; Dijk, Herman K. van - 2014
forecasting performance of the various model specifications. The extension of a basic growth model with a constant mean to models … expectations is important for forecasting growth in specific periods, such as the the recession periods around 2000s and around …
Persistent link: https://www.econbiz.de/10010399680
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Machine learning with parallel neural networks for analyzing and forecasting electricity demand
Chen, Yi-Ting; Sun, Edward W.; Lin, Yi-Bing - In: Computational economics 56 (2020) 2, pp. 569-597
Persistent link: https://www.econbiz.de/10012272048
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Jump detection and noise separation by a singular wavelet method for predictive analytics of high-frequency data
Chen, Yi-Ting; Lai, Wan-Ni; Sun, Edward W. - In: Computational economics 54 (2019) 2, pp. 809-844
Persistent link: https://www.econbiz.de/10012134380
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The evolution of forecast density combinations in economics
Aastveit, Knut Are; Mitchell, James; Ravazzolo, Francesco; … - 2018
Increasingly, professional forecasters and academic researchers present model-based and subjective or judgment-based forecasts in economics which are accompanied by some measure of uncertainty. In its most complete form this measure is a probability density function for future values of the...
Persistent link: https://www.econbiz.de/10011895935