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A pruned dynamic programming algorithm to recover the best segmentations with $1$ to $K_{max}$ change-points
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A pruned dynamic programming algorithm to recover the best segmentations with $1$ to $K_{max}$ change-points (2010)A pruned dynamic programming algorithm to…Optimal change-point detection and localization (2023)Optimal change-point detectio…gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection (2023)gfpop: An R Package for Univa…Testing for a Change in Mean after Changepoint Detection (2022)Testing for a Change in Mean …Two-stage data segmentation permitting multiscale change points, heavy tails and dependence (2021)Two-stage data segmentation p…Sequential change point tests based on U‐statistics (2021)Sequential change point tests…mosum: A Package for Moving Sums in Change-Point Analysis (2021)mosum: A Package for Moving S…Data segmentation algorithms: Univariate mean change and beyond (2021)Data segmentation algorithms:…Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences (2021)Bayesian Hierarchical Model f…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…Rank-based multiple change-point detection (2019)Rank-based multiple change-po…Tail-greedy bottom-up data decompositions and fast multiple change-point detection (2018)Tail-greedy bottom-up data de…Multiple Change Point Analysis: Fast Implementation and Strong Consistency (2017)Multiple Change Point Analysi…CONTINUOUS INSPECTION SCHEMES (1954)Fitting autoregressive models for prediction (1969)Time series analysis forecasting and control (2009)Change-Point Methods on a Sequence of Graphs (2019)Greedy Kernel Change-Point Detection (2019)Volatility in Emerging Stock Markets (1999)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Wild binary segmentation for multiple change-point detection (2014)Multiscale change point detection for dependent data (2020)changepoint : An R Package for Changepoint Analysis (2014)cpop: Detecting Changes in Piecewise-Linear Signals (2024)Data segmentation for time series based on a general moving sum approach (2024)Selective review of offline change point detection methods (2019)Predictive Sales and Operations Planning Based on a Statistical Treatment of Demand to Increase Efficiency: A Supply Chain Simulation Case Study (2020)Bootstrap confidence intervals for multiple change points based on moving sum procedures (2022)Estimating the number of change-points via Schwarz' criterion (1988)Fast Online Changepoint Detection via Functional Pruning CUSUM statistics (2021)Multiple change point detection under serial dependence: Wild contrast maximisation and gappy Schwarz algorithm (2023)Structural breaks in time series (2012)A robust bootstrap change point test for high-dimensional location parameter (2022)Localizing Changes in High-Dimensional Vector Autoregressive Processes (2019)Optimal Nonparametric Multivariate Change Point Detection and Localization (2021)Optimal multiple change-point detection for high-dimensional data (2023)The state of cumulative sum sequential changepoint testing 70 years after Page (2023)
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Cited by

  • 2018Tail-greedy bottom-up data decompositions and fast multiple change-point detection55 cited
  • 2022Testing for a Change in Mean after Changepoint Detection53 cited
  • 2021Data segmentation algorithms: Univariate mean change and beyond52 cited
  • 2023Optimal change-point detection and localization46 cited
  • 2020Detecting Abrupt Changes in the Presence of Local Fluctuations and Autocorrelated Noise39 cited
  • 2021mosum: A Package for Moving Sums in Change-Point Analysis36 cited
  • 2020Relating and comparing methods for detecting changes in mean36 cited
  • 2017Multiple Change Point Analysis: Fast Implementation and Strong Consistency17 cited
  • 2023gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection13 cited
  • 2021Sequential change point tests based on U‐statistics12 cited
  • 2019Rank-based multiple change-point detection12 cited
  • 2021Bayesian Hierarchical Model for Change Point Detection in Multivariate Sequences11 cited
  • 2021Two-stage data segmentation permitting multiscale change points, heavy tails and dependence11 cited

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