On Changepoint Detection in a Series ofStimulus-Response Data

dc.contributor.authorNyarige, Euna Gesare
dc.contributor.authorFranke, J ̈urgen
dc.contributor.authorFischer, Alexander
dc.date.accessioned2019-04-29T13:06:28Z
dc.date.available2019-04-29T13:06:28Z
dc.date.issued2017
dc.description.abstractn 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.identifier.urihttp://ir.mksu.ac.ke/handle/123456780/4346
dc.language.isoen_USen_US
dc.subjectstimulus-response dataen_US
dc.subjectfunctional dataen_US
dc.subjectfunctional time seriesen_US
dc.subjectchangepoint testen_US
dc.subjectinhibitory synaptic transmissionen_US
dc.titleOn Changepoint Detection in a Series ofStimulus-Response Dataen_US
dc.typeArticleen_US

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