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Decomposition by causal forces: a procedure for forecasting complex time series

✍ Scribed by J.Scott Armstrong; Fred Collopy; J.Thomas Yokum


Book ID
113647759
Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
142 KB
Volume
21
Category
Article
ISSN
0169-2070

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## Abstract Forecasting for nonlinear time series is an important topic in time series analysis. Existing numerical algorithms for multi‐step‐ahead forecasting ignore accuracy checking, alternative Monte Carlo methods are also computationally very demanding and their accuracy is difficult to contro