On Changepoint Detection in a Series of Stimulus-Response Data
- In this paper, we demonstrate the power of functional data models for a statistical analysis of stimulus-response experiments which is a quite natural way to look at this kind of data and which makes use of the full information available. In particular, we focus on the detection of a change in the mean of the response in a series of stimulus-response curves where we also take into account dependence in time.
| Author: | Euna Gesare Nyarige, Jürgen Franke, Alexander Fischer |
|---|---|
| URN: | urn:nbn:de:hbz:386-kluedo-51399 |
| Series (Serial Number): | Report in Wirtschaftsmathematik (WIMA Report) (165) |
| Document Type: | Article |
| Language of publication: | English |
| Date of Publication (online): | 2018/01/30 |
| Year of first Publication: | 2018 |
| Publishing Institution: | Technische Universität Kaiserslautern |
| Date of the Publication (Server): | 2018/01/31 |
| Tag: | changepoint test; functional data; functional time series; inhibitory synaptic transmission; stimulus response data |
| Page Number: | 19 |
| Faculties / Organisational entities: | Kaiserslautern - Fachbereich Mathematik |
| DDC-Cassification: | 5 Naturwissenschaften und Mathematik / 510 Mathematik |
| MSC-Classification (mathematics): | 62-XX STATISTICS |
| Licence (German): |  Creative Commons 4.0 - Namensnennung, nicht kommerziell, keine Bearbeitung (CC BY-NC-ND 4.0) |