Titlebook: COMPSTAT; Proceedings in Compu Albert Prat Conference proceedings 1996 Physica-Verlag Heidelberg 1996 Bayesian Models.Bayessche Methoden.Cl

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K. J. Kwon-Chung,John E. Bennette models available at a reasonable cost would give companies and institutions powerful management tools. On the other hand, the peculiarities that these series show advise specific treatment, differentiated from that of the series which show a higher level of time aggregation. In this article the pr

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https://doi.org/10.1007/978-1-60327-297-1dations for the focus of future research effort. In particular, I suggest that effort should now be shifted away from the minutiae of improving the performance of classification rules, as measured by, for example, error rate, and should, instead be focused on a deeper understanding of the problem do

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Impact of the 2008 Global Financial Crisis,s to develop a forecasting model for such a time series avoiding some of the restrictive hypotheses imposed by classical approaches. If the original series x(t) is cut in periods of amplitude h (h > 0) then the following process is obtained by rescaling . The forecasting model proposed in this paper

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