Ontology highlight
ABSTRACT:
SUBMITTER: Goswami B
PROVIDER: S-EPMC5752700 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Nature communications 20180103 1
Identifying abrupt transitions is a key question in various disciplines. Existing transition detection methods, however, do not rigorously account for time series uncertainties, often neglecting them altogether or assuming them to be independent and qualitatively similar. Here, we introduce a novel approach suited to handle uncertainties by representing the time series as a time-ordered sequence of probability density functions. We show how to detect abrupt transitions in such a sequence using t ...[more]