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  <http://purl.org/dc/terms/abstract> "The paper discusses a new, fully recursive approach to the adaptive modeling, forecasting and seasonal adjustment of nonstationary economic time-series. The procedure is based around a time variable parameter (TVP) version of the well known “component” or “structural” model. It employs a novel method of sequential spectral decomposition (SSD), based on recursive state-space smoothing, to decompose the series into a number of quasi-orthogonal components. This SSD procedure can be considered as a complete approach to the problem of model identification and estimation, or it can be used as a first step in maximum likelihood estimation. Finally, the paper illustrates the overall adaptive approach by considering a practical example of a UK unemployment series which exhibits marked nonstationarity caused by various economic factors. "^^<http://ns.ontowiki.net/SysOnt/Markdown>;
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Published in: Mittnik, S., ed. _System-Theoretic Methods in Economic Modelling II_. Pergamon, 1989. https://doi.org/10.1016/C2009-0-14787-6."""^^<http://ns.ontowiki.net/SysOnt/Markdown>;
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