Online monitoring with local smoothing methods and adaptive ridging

Journal of Statistical Computation and Simulation

Volumn 73, Issue 12, 2003, Pages 913-929

  Einbeck, Jochen ^a   Kauermann, Göran ^b  

^a UNIVERSITY OF MUNICH   (Germany)

^b UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Breakpoint detection; Local linear smoothing; Online monitoring; Ridging

Indexed keywords

EID: 0345491413     PISSN: 00949655     EISSN: None     Source Type: Journal    
DOI: 10.1080/0094965031000104332     Document Type: Article

References (15)

1. Basseville, M. and Nikiforov, I. V. (1993). Detection of Abrupt Changes, Theory and Application. Prentice Hall, Englewood Cliffs, New Jersey, USA.
2. Bauer, M., Gather, U. and Imhoff, M. (1999). Analysis of high dimensional data from intensive care medicine. In: Payne, R. and Green, P. (Eds.), Proceedings in Computational Statistics. Springer-Verlag, Berlin, pp. 185-190.
3. Brockwell, P. J. and Davis, R. A. (1987). Time Series: Theory and Methods. Springer-Verlag, Berlin, New York.
4. Chu, C. K., Glad, I. K., Godtliebsen, F. and Marron, J. (1998). Edge-preserving smoothers for image processing (with discussion). J. Amer. Statist. Assoc., 93, 526-541.
5. Daumer, M. (1997). Online monitoring of change points. Biomedizinische Technik, 42, 95-96.
6. Daumer, M. (1999). Verfahren und Vorrichtung zur Erkennung von Driften, Sprüngen und/oder Ausreißern von Meßwerten. Patent PCT/DE 99/01820.
7. Daumer, M. and Falk, M. (1998). On-line change-point detection (for state space models) using multi-process Kalman filters. Linear Algebra and its Applications, 284, 125-135.
8. Fahrmeir, L. and Künstler, R. (1999). Penalized likelihood smoothing in robust state space models. Metrika, 49, 173-191.
9. Fan, J. and Gijbels, I. (1996). Local Polynomial Modelling and its Applications. Chapman and Hall, London.
10. Gather, U., Bauer, M., Imhoff, M. and Löhlein, D. (1998). Statistical pattern detection in univariate time series of intensive care on-line monitoring data. Intensive Care Medicine, 24, 1305-1314.
11. Hall, P. and Titterington, D. M. (1992). Edge-preserving and peak-preserving smoothing, Technometrics, 34, 429-440.
12. Imhoff, M. and Bauer, M. (1996). Time series analysis in critical care monitoring. New Horizons, 4, 519-531.
13. McDonald, J. A. and Owen, A. B. (1986). Smoothing with split linear fits. Technometrics, 28, 195-208.
14. Müller, H-G. and Stadtmüller, U. (1999). Discontinuous versus smooth regression. Ann. Statist., 27, 299-337.
15. Seifert, B. and Gasser, T. (2000). Data adaptive ridging in local polynomial regression. Journal of Comput. and Graph. Statistics, 9, 338-360.