Strong approximations and sequential change-point analysis for diffusion processes

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  • Stefan-Radu Mihalache
In this paper ergodic diffusion processes depending on a parameter in the drift are considered under the assumption that the processes can be observed continuously. Strong approximations by Wiener processes for a stochastic integral and for the estimator process constructed by the one-step procedure of Le Cam are obtained. Applying these approximations, a CUSUM-type procedure is developed for the sequential testing of changes in the parameter.
Original languageEnglish
JournalStatistics & Probability Letters
Volume82
Issue number3
Pages (from-to)464-472
ISSN0167-7152
Publication statusPublished - 2012

ID: 49695871