25 years of time series forecasting

被引:984
作者
De Gooijer, Jan G.
Hyndman, Rob J. [1 ]
机构
[1] Monash Univ, Dept Econometr & Business Stat, Clayton, Vic 3800, Australia
[2] Univ Amsterdam, Dept Quantitat Econ, NL-1018 WB Amsterdam, Netherlands
关键词
accuracy measures; ARCH; ARIMA; combining; count data; densities; exponential smoothing; Kalman filter; long memory; multivariate; neural nets; nonlinearity; prediction intervals; regime-switching; robustness; seasonality; state space; structural models; transfer function; univariate; VAR;
D O I
10.1016/j.ijforecast.2006.01.001
中图分类号
F [经济];
学科分类号
02 ;
摘要
We review the past 25 years of research into time series forecasting. In this silver jubilee issue, we naturally highlight results published in journals managed by the International Institute of Forecasters (Journal of Forecasting 1982-1985 and International Journal of Forecasting 1985-2005). During this period, over one third of all papers published in these journals concerned time series forecasting. We also review highly influential works on time series forecasting that have been published elsewhere during this period. Enormous progress has been made in many areas, but we find that there are a large number of topics in need of further development. We conclude with comments on possible future research directions in this field. (c) 2006 International Institute of Forecasters. Published by Elsevier B.V. All rights reserved.
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页码:443 / 473
页数:31
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