25 years of time series forecasting. De Gooijer, J. G. and Hyndman, R. J. International Journal of Forecasting, 22(3):443--473.
25 years of time series forecasting [link]Paper  doi  abstract   bibtex   
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.
@article{de_gooijer_25_????,
	title = {25 years of time series forecasting},
	volume = {22},
	issn = {0169-2070},
	shorttitle = {25 years of time series forecasting},
	url = {http://www.sciencedirect.com/science/article/pii/S0169207006000021},
	doi = {10.1016/j.ijforecast.2006.01.001},
	abstract = {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.},
	number = {3},
	journal = {International Journal of Forecasting},
	author = {De Gooijer, Jan G. and Hyndman, Rob J.},
	keywords = {ARCH, ARIMA, Accuracy measures, 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},
	pages = {443--473}
}
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