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ArticleThe multiple filter test for change point detection in time series

Michael Messer2018

Article2018

The multiple filter test for change point detection in time series

Michael Messer · Stefan Albert · Gaby Schneider

15 citations·0/0 files stored·Metrika

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Advanced Statistical Process Monitoring Fault Detection and Control Systems Statistical Methods and Inference

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References

2014Wild binary segmentation for multiple change-point detection 1993Nonparametric Methods in Change-Point Problems 2013A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data 2012Structural breaks in time series 2014Multiscale Change Point Inference 2010Efficient change point detection for genomic sequences of continuous measurements 2013Inference for single and multiple change‐points in time series 2017A MOSUM procedure for the estimation of multiple random change points

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2021Two-stage data segmentation permitting multiscale change points, heavy tails and dependence

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2019Rank-based multiple change-point detectionarticle · 9 shared references 2021Data segmentation algorithms: Univariate mean change and beyondarticle · 7 shared references 2021mosum: A Package for Moving Sums in Change-Point Analysisarticle · 7 shared references 2022Segmenting Time Series via Self-Normalisationarticle · 6 shared references 2016A computationally efficient nonparametric approach for changepoint detectionarticle · 5 shared references 2015Inference for Multiple Change Points in Time Series via Likelihood Ratio Scan Statisticsarticle · 5 shared references

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Year2018

Typearticle

Published2018-07-18

VenueMetrika

ISSN-L0026-1335

Languageen

Citations15

Files0 public / 0

ShelfAdvanced Statistical Process Monitoring

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doi10.1007/s00184-018-0672-1

openalex_workW2884049490

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