ACTA issues

Limit theorems for change-point detection in nonparametric regression models

M. D. Burke

Acta Sci. Math. (Szeged) 73:3-4(2007), 865-882
6465/2009

Abstract. Asymptotic results are obtained for weighted empirical processes appropriate for testing whether a change-point occurs in a nonparametric regression model. Since many quantities are unspecified, the results are not distribution-free. A weighted bootstrap approach is used to approximate the limiting distributions.


AMS Subject Classification (1991): 62N05, 62N01, 62N02; 60G44, 62E20

Keyword(s): Change-point detection, nonparametric regression, strong approximations, weighted approximations, weighted bootstrap, asymptotic distributions


Received May 14, 2007. (Registered under 6465/2009.)