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Change point estimation using nonparametric regression. (English) Zbl 0867.62033
Summary: We consider a regression model in which the mean function may have a discontinuity at an unknown point. We propose an estimate of the location of the discontinuity based on one-side nonparametric regression estimates of the mean function. The change point estimate is shown to converge in probability at rate \(O(n^{-1})\) and to have the same asymptotic distribution as maximum likelihood estimates considered by other authors under parametric regression models. Confidence regions for the location and size of the change are also discussed.

62G07 Density estimation
62G15 Nonparametric tolerance and confidence regions
Full Text: DOI
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[11] MURRAY HILL, NEW JERSEY 07974-2070 E-MAIL: clive@bell-labs.com
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