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Long signal change-point detection

Authors: Biau, Gérard; Bleakley, Kevin; Mason, David;

Long signal change-point detection

Abstract

The detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance. We derive the asymptotic distribution of a statistic recently suggested for detecting change-points. Simulation of its estimated limit distribution leads to a new and computationally efficient change-point detection algorithm, which can be used on very long signals. We assess the algorithm via simulations and on previously benchmarked real-world data sets.

Country
France
Keywords

FOS: Computer and information sciences, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], [STAT.TH] Statistics [stat]/Statistics Theory [stat.TH], Asymptotic properties of parametric tests, Asymptotic distribution theory in statistics, $U$-statistic, limit distribution, Mathematics - Statistics Theory, Statistics Theory (math.ST), Statistics - Applications, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], Time series, auto-correlation, regression, etc. in statistics (GARCH), [STAT.AP] Statistics [stat]/Applications [stat.AP], \(U\)-statistic, Change-point, FOS: Mathematics, statistical test, Applications (stat.AP), multi-dimensional data, change-point

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
gold
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