Detection of Changes in Linear Sequences
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DOI: 10.1023/A:1003110912735
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References listed on IDEAS
- Jushan Bai, 1994.
"Least Squares Estimation Of A Shift In Linear Processes,"
Journal of Time Series Analysis, Wiley Blackwell, vol. 15(5), pages 453-472, September.
- Bai, Jushan, 1993. "Least squares estimation of a shift in linear processes," MPRA Paper 32878, University Library of Munich, Germany.
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Cited by:
- Elena Andreou & Eric Ghysels, 2002.
"Detecting multiple breaks in financial market volatility dynamics,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(5), pages 579-600.
- Elena Andreou & Eric Ghysels, 2001. "Detecting Mutiple Breaks in Financial Market Volatility Dynamics," CIRANO Working Papers 2001s-65, CIRANO.
- Elena Andreou & Eric Ghysels, 2001. "Detecting Multiple Breaks in Financial Market Volatility Dynamics," University of Cyprus Working Papers in Economics 0202, University of Cyprus Department of Economics.
- Elena Andreou & Eric Ghysels, 2002.
"Tests for Breaks in the Conditional Co-movements of Asset Returns,"
CIRANO Working Papers
2002s-59, CIRANO.
- Elena Andreou & Eric Ghysels, 2003. "Test for Breaks in the Conditional Co-Movements of Asset Returns," University of Cyprus Working Papers in Economics 3-2003, University of Cyprus Department of Economics.
- Aue, Alexander & Horváth, Lajos, 2004. "Delay time in sequential detection of change," Statistics & Probability Letters, Elsevier, vol. 67(3), pages 221-231, April.
- Kühn, Christoph, 2001. "An estimator of the number of change points based on a weak invariance principle," Statistics & Probability Letters, Elsevier, vol. 51(2), pages 189-196, January.
- Kokoszka, Piotr & Leipus, Remigijus, 1998. "Change-point in the mean of dependent observations," Statistics & Probability Letters, Elsevier, vol. 40(4), pages 385-393, November.
- Aue, Alexander, 2004. "Strong approximation for RCA(1) time series with applications," Statistics & Probability Letters, Elsevier, vol. 68(4), pages 369-382, July.
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Keywords
Change-point; linear sequence; dependent observations;All these keywords.
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