On Changepoint Detection in a Series ofStimulus-Response Data

dc.contributor.author	Nyarige, Euna Gesare
dc.contributor.author	Franke, J ̈urgen
dc.contributor.author	Fischer, Alexander
dc.date.accessioned	2019-04-29T13:06:28Z
dc.date.available	2019-04-29T13:06:28Z
dc.date.issued	2017
dc.identifier.uri	http://ir.mksu.ac.ke/handle/123456780/4346
dc.description.abstract	n this paper, we demonstrate the power of functional data models for a statistic al 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.	en_US
dc.language.iso	en_US	en_US
dc.subject	stimulus-response data	en_US
dc.subject	functional data	en_US
dc.subject	functional time series	en_US
dc.subject	changepoint test	en_US
dc.subject	inhibitory synaptic transmission	en_US
dc.title	On Changepoint Detection in a Series ofStimulus-Response Data	en_US
dc.type	Article	en_US

School of Pure and Applied Sciences [259]
Scholarly Articles by Faculty & Students in the School of Pure and Applied Sciences