Journalartikel

Constructing narrowest pathwise bootstrap prediction bands using threshold accepting


AutorenlisteStaszewska-Bystrova, A; Winker, P

Jahr der Veröffentlichung2013

Seiten221-233

ZeitschriftInternational Journal of Forecasting

Bandnummer29

Heftnummer2

ISSN0169-2070

eISSN1872-8200

DOI Linkhttps://doi.org/10.1016/j.ijforecast.2012.09.004

VerlagElsevier


Abstract

Typically, prediction bands for path-forecasts are constructed pointwise, while inference relates to the whole forecasted path. In general, no closed form analytical solution is available for pathwise bands in finite samples. We consider a direct construction approach based on bootstrapped prediction bands. The resulting highly complex optimization problem is tackled using the local search heuristic of threshold accepting. A comparison with pointwise and asymptotic bands is provided, demonstrating superior properties of the proposed bands in small samples. Finally, a real application shows the practical implications of using an appropriate tool for generating the prediction bands.




Autoren/Herausgeber




Zitierstile

Harvard-ZitierstilStaszewska-Bystrova, A. and Winker, P. (2013) Constructing narrowest pathwise bootstrap prediction bands using threshold accepting, International Journal of Forecasting, 29(2), pp. 221-233. https://doi.org/10.1016/j.ijforecast.2012.09.004

APA-ZitierstilStaszewska-Bystrova, A., & Winker, P. (2013). Constructing narrowest pathwise bootstrap prediction bands using threshold accepting. International Journal of Forecasting. 29(2), 221-233. https://doi.org/10.1016/j.ijforecast.2012.09.004


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