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EnglishAim of this paper is to present a way to explore time series by combining some fundamental results of stochastic processes theory with graphical and reduction features of factorial methods. A multiple time series visualization and identification strategy is provided by defining a common structural subspace where different regions related to particular ARMA processes are represented. This subspace becomes the reference map for the exploration of multiple time series. In order to provide a unique identification of the ARMA model, a complementary tool represented by a classification tree is proposed.
| Titolo: | Exploring and Visualizing Multiple Time Series |
| Autori: | |
| Data di pubblicazione: | 2005 |
| Rivista: | |
| Abstract: | Aim of this paper is to present a way to explore time series by combining some fundamental results of stochastic processes theory with graphical and reduction features of factorial methods. A multiple time series visualization and identification strategy is provided by defining a common structural subspace where different regions related to particular ARMA processes are represented. This subspace becomes the reference map for the exploration of multiple time series. In order to provide a unique identification of the ARMA model, a complementary tool represented by a classification tree is proposed. |
| Handle: | http://hdl.handle.net/11386/1071915 |
| Appare nelle tipologie: | 1.1.2 Articolo su rivista con ISSN |
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