Abstract:Time series from a large number of sources are ubiquitous, and some of them usually incur structural changes throughout data acquisition. For example, in fMRI analysis, some brain regions associated with task-related stimuli or in resting states become active. An activated time series can be composed of readings from an activated region. Of interest is to control the uncertainty of discovering time series in activation (viz., activated regions in fMRI analysis) via the false discovery rate (FDR) tool. We propo… Show more
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