Exponential prediction models based on sequence operators

Citation
A. Sydow et al., Exponential prediction models based on sequence operators, KYBERNETES, 30(4), 2001, pp. 397-410
Citations number
10
Categorie Soggetti
AI Robotics and Automatic Control
Journal title
KYBERNETES
ISSN journal
0368492X → ACNP
Volume
30
Issue
4
Year of publication
2001
Pages
397 - 410
Database
ISI
SICI code
0368-492X(2001)30:4<397:EPMBOS>2.0.ZU;2-T
Abstract
One of the difficulties experienced in applications of exponential predicti on models of time series is resolved by introducing sequence operators. Thi s approach is different from all known modelings of time series and regress ion analysis. Also, discontinuities (or outliers), appearing in a given tim e series, can be naturally absorbed by applying sequence operators. This en d is important since, in terms of predictions, outliers or discontinuities in the data might signal major changes in the pattern of the time series da ta.