Abrupt Change Detection is a methodological framework within change-point detection that identifies instantaneous disruptions in the statistical properties of a time series, distinguished from gradual or evolving shifts by its focus on detecting discontinuities that occur at a single, well-defined point in time.
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Detection of Abrupt Changes: Theory and Application
Kurt S. Riedel · Technometrics · 1994 · 3K citations
Bayesian Online Changepoint Detection
Ryan P. Adams, David Mackay · ArXiv.org · 2007 · 603 citations · Full text
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Centre National de la Recherche Scientifique
Paris, France
18 h-index
46 publications
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Chinese Academy of Sciences
Beijing, China
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45 publications
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University of Chinese Academy of Sciences
Beijing, China
11 h-index
25 publications
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Beijing Normal University
Beijing, China
9 h-index
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Institute of Geographic Sciences and Natural Resources Research
Beijing, China
8 h-index
20 publications
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China Meteorological Administration
Beijing, China
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15 publications
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Texas A&M University
College Station, United States
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