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Title:Jump-preserving monitoring of dependent time series using pilot estimators PDF Logo
Authors:Steland, Ansgar
Issue Date:2003
Series/Report no.:Technical Report // Universität Dortmund, SFB 475 Komplexitätsreduktion in Multivariaten Datenstrukturen 2004,03
Abstract:An important problem of the statistical analysis of time series is to detect change-points in the mean structure. Since this problem is a one-dimensional version of the higher dimensional problem of detecting edges in images, we study detection rules which benefit from results obtained in image processing. For the sigma-filter studied there to detect edges, asymptotic bounds for the normed delay have been established for independent data. These results are considerably extended in two directions. First, we allow for dependent processes satisfying a certain conditional mixing property. Second, we allow for more general pilot estimators, e.g., the median, resulting in better detection properties. A simulation study indicates that our new procedure indeed performs much more better.
Subjects:Image processing
Nonparametric regression
Quality Control
Structural Change
Document Type:Working Paper
Appears in Collections:Technical Reports, SFB 475, TU Dortmund

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