Many procedures have been developed that are suited to testing for multiple changes in parameters of regression models which occur at unknown times. Most notably, Brown, Durbin and Evans [11] and Dufour [15], have developed or extended existing techniques, but said extensions lack power for...

This article introduces a U-statistic type process that is fashioned from a kernal which can depend on nuisance parameters. It is shown that this process can accommodate, in a straightforward manner, anti-symmetric kernels, which have proved useful for detecting changing patterns in the dynamics...