3 papers
math.ST2026
Fully Functional Weighted Testing for Abrupt and Gradual Location Changes in Functional Time Series
Claudia Kirch, Hedvika Ranošová, Martin Wendler
Change point tests for abrupt changes in the mean of functional data, i.e., random elements in infinite-dimensional Hilbert spaces, are either based on dimension reduction techniqu…
stat.ME2025
Detection of mean changes in partially observed functional data
Šárka Hudecová, Claudia Kirch
We propose a test for a change in the mean for a sequence of functional observations that are only partially observed on subsets of the domain, with no information available on the…
math.ST2025
Estimation of Change Points for Non-linear (auto-)regressive processes using Neural Network Functions
Claudia Kirch, Stefanie Schwaar
In this paper, we propose a new test for the detection of a change in a non-linear (auto-)regressive time series as well as a corresponding estimator for the unknown time point of…