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Changepoint Detection in the Presence of Outliers
9 references·16 citing·29 second hop
Changepoint Detection in the Presence of Outliers (2017)Changepoint Detection in the Presence of …On optimal multiple changepoint algorithms for large data (2016)On optimal multiple changepoi…Wild binary segmentation for multiple change-point detection (2014)Wild binary segmentation for …Multiscale Change Point Inference (2014)Multiscale Change Point Infer…Frontiers in Massive Data Analysis (2013)Frontiers in Massive Data Ana…Optimal Detection of Changepoints With a Linear Computational Cost (2012)Optimal Detection of Changepo…Least‐squares Estimation of an Unknown Number of Shifts in a Time Series (2000)Least‐squares Estimation of a…On the Likelihood Ratio Test for a Shift in Location of Normal Populations (1979)On the Likelihood Ratio Test …Inference about the Change-Point from Cumulative Sum Tests (1971)Inference about the Change-Po…CONTINUOUS INSPECTION SCHEMES (1954)CONTINUOUS INSPECTION SCHEMESData segmentation for time series based on a general moving sum approach (2024)Data segmentation for time se…Sequential change‐point detection: Computation versus statistical performance (2023)Sequential change‐point detec…gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection (2023)gfpop: An R Package for Univa…An Advanced Segmentation Approach to Piecewise Regression Models (2023)An Advanced Segmentation Appr…Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data (2022)Real-time Change-Point Detect…WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data (2021)WATCH: Wasserstein Change Poi…Scalable multiple changepoint detection for functional data sequences (2021)Scalable multiple changepoint…Optimal Nonparametric Multivariate Change Point Detection and Localization (2021)Optimal Nonparametric Multiva…Optimal nonparametric change point analysis (2021)Optimal nonparametric change …Data segmentation algorithms: Univariate mean change and beyond (2021)Data segmentation algorithms:…Relating and comparing methods for detecting changes in mean (2020)Relating and comparing method…Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise (2020)Detecting Abrupt Changes in t…A robust method for shift detection in time series (2020)A robust method for shift det…Parallelization of a Common Changepoint Detection Method (2019)Parallelization of a Common C…Optimal nonparametric change point detection and localization (2019)Optimal nonparametric change …Most Recent Changepoint Detection in Panel Data (2018)Most Recent Changepoint Detec…Testing a Sequence of Observations for a Shift in Location (1977)Testing and Locating Variance Changepoints with Application to Stock Prices (1997)A Change-Point Model for a Shift in Variance (2005)Statistical Process Control for Shifts in Mean or Variance Using a Changepoint Formulation (2005)Use of Cumulative Sums of Squares for Retrospective Detection of Changes of Variance (1994)changepoint : An R Package for Changepoint Analysis (2014)A computationally efficient nonparametric approach for changepoint detection (2016)High Dimensional Change Point Estimation via Sparse Projection (2017)Estimating the Current Mean of a Normal Distribution which is Subjected to Changes in Time (1964)Inference About the Change-Point in a Sequence of Random Variables (1970)The Changepoint Model for Statistical Process Control (2003)The Cusum Test for Parameter Change in Time Series Models (2003)An Overview of Phase I Analysis for Process Improvement and Monitoring (2014)Estimating the number of change-points via Schwarz' criterion (1988)Nonparametric Methods in Change-Point Problems (1993)Detecting multiple breaks in financial market volatility dynamics (2002)Moment and Memory Properties of Linear Conditional Heteroscedasticity Models, and a New Model (2004)Do energy prices stimulate food price volatility? Examining volatility transmission between US oil, ethanol and corn markets (2013)Selective review of offline change point detection methods (2019)mosum: A Package for Moving Sums in Change-Point Analysis (2021)Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm (2023)The state of cumulative sum sequential changepoint testing 70 years after Page (2023)Procedures for Reacting to a Change in Distribution (1971)A heuristic, iterative algorithm for change-point detection in abrupt change models (2017)Univariate mean change point detection: Penalization, CUSUM and optimality (2020)Seeded binary segmentation: a general methodology for fast and optimal changepoint detection (2022)Statistical Procedures for Forecasting Criminal Behavior (2013)Big data analytics and big data science: a survey (2016)The growing ubiquity of algorithms in society: implications, impacts and innovations (2018)
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References

  • 1954CONTINUOUS INSPECTION SCHEMES5,731 cited
  • 2012Optimal Detection of Changepoints With a Linear Computational Cost2,578 cited
  • 2014Wild binary segmentation for multiple change-point detection721 cited
  • 1971Inference about the Change-Point from Cumulative Sum Tests460 cited
  • 2014Multiscale Change Point Inference320 cited
  • 2000Least‐squares Estimation of an Unknown Number of Shifts in a Time Series276 cited
  • 1979On the Likelihood Ratio Test for a Shift in Location of Normal Populations210 cited
  • 2016On optimal multiple changepoint algorithms for large data187 cited
  • 2013Frontiers in Massive Data Analysis163 cited

Cited by

  • 2021Data segmentation algorithms: Univariate mean change and beyond52 cited
  • 2022Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data51 cited
  • 2020Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise39 cited
  • 2018Most Recent Changepoint Detection in Panel Data36 cited
  • 2021Optimal Nonparametric Multivariate Change Point Detection and Localization36 cited
  • 2020Relating and comparing methods for detecting changes in mean

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36 cited
  • 2020A robust method for shift detection in time series28 cited
  • 2021WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data27 cited
  • 2023Sequential change‐point detection: Computation versus statistical performance18 cited
  • 2023An Advanced Segmentation Approach to Piecewise Regression Models18 cited
  • 2019Optimal nonparametric change point detection and localization18 cited
  • 2024Data segmentation for time series based on a general moving sum approach15 cited
  • 2019Parallelization of a Common Changepoint Detection Method15 cited
  • 2021Scalable multiple changepoint detection for functional data sequences14 cited
  • 2023gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection13 cited
  • 2021Optimal nonparametric change point analysis12 cited