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Efficient change point detection for genomic sequences of continuous measurements
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Efficient change point detection for genomic sequences of continuous measurements (2010)Efficient change point detection for geno…An Advanced Segmentation Approach to Piecewise Regression Models (2023)An Advanced Segmentation Appr…Testing for a Change in Mean after Changepoint Detection (2022)Testing for a Change in Mean …mosum: A Package for Moving Sums in Change-Point Analysis (2021)mosum: A Package for Moving S…Detecting multiple generalized change-points by isolating single ones (2021)Detecting multiple generalize…Relating and comparing methods for detecting changes in mean (2020)Relating and comparing method…Quickest Change Detection in the Presence of a Nuisance Change (2019)Quickest Change Detection in …The multiple filter test for change point detection in time series (2018)The multiple filter test for …Nonparametric change point detection in multivariate piecewise stationary time series (2018)Nonparametric change point de…Detection of a change-point in variance by a weighted sum of powers of variances test (2018)Detection of a change-point i…A comparison of risk measures for accidents in the energy sector and their implications on decision-making strategies (2018)A comparison of risk measures…A Binning Approach to Quickest Change Detection With Unknown Post-Change Distribution (2018)A Binning Approach to Quickes…Quickest change detection with unknown post-change distribution (2017)Quickest change detection wit…Heterogeneous change point inference (2017)Heterogeneous change point in…A MOSUM procedure for the estimation of multiple random change points (2017)A MOSUM procedure for the est…A heuristic, iterative algorithm for change-point detection in abrupt change models (2017)A heuristic, iterative algori…Bayesian Model for Multiple Change-points Detection in Multivariate Time Series (2014)Bayesian Model for Multiple C…A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the ‘business cycle’ (1981)Limit theorems in change-point analysis (1997)Optimal Detection of Changepoints With a Linear Computational Cost (2012)Detection of Changes in Multivariate Time Series With Application to EEG Data (2014)Inference for Multiple Change Points in Time Series via Likelihood Ratio Scan Statistics (2015)Change-point detection in panel data via double CUSUM statistic (2016)segmented: Regression Models with Break-Points / Change-Points Estimation (with Possibly Random Effects) (2003)changepoint : An R Package for Changepoint Analysis (2014)Multiscale Change Point Inference (2014)Rank-based multiple change-point detection (2019)CONTINUOUS INSPECTION SCHEMES (1954)Procedures for Reacting to a Change in Distribution (1971)Optimal Stopping Times for Detecting Changes in Distributions (1986)Change-Point Detection of Gaussian Graph Signals with Partial Information (2018)Wild binary segmentation for multiple change-point detection (2014)Selective review of offline change point detection methods (2019)Data segmentation algorithms: Univariate mean change and beyond (2021)Detection of Abrupt Changes: Theory and Applications. (1995)An online kernel change detection algorithm (2005)A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data (2013)Greedy Kernel Change-Point Detection (2019)Sequential algorithms for moving anomaly detection in networks (2020)Change Detection in Multivariate Datastreams Controlling False Alarms (2021)gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection (2023)cpop: Detecting Changes in Piecewise-Linear Signals (2024)Data segmentation for time series based on a general moving sum approach (2024)Multiscale change point detection for dependent data (2020)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)
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  • 2017A MOSUM procedure for the estimation of multiple random change points144 cited
  • 2017A heuristic, iterative algorithm for change-point detection in abrupt change models104 cited
  • 2017Heterogeneous change point inference72 cited
  • 2021Detecting multiple generalized change-points by isolating single ones62 cited
  • 2022Testing for a Change in Mean after Changepoint Detection53 cited
  • 2018A Binning Approach to Quickest Change Detection With Unknown Post-Change Distribution47 cited
  • 2021mosum: A Package for Moving Sums in Change-Point Analysis36 cited
  • 2020Relating and comparing methods for detecting changes in mean36 cited
  • 2014Bayesian Model for Multiple Change-points Detection in Multivariate Time Series24 cited
  • 2017Quickest change detection with unknown post-change distribution20 cited
  • 2018A comparison of risk measures for accidents in the energy sector and their implications on decision-making strategies19 cited
  • 2023An Advanced Segmentation Approach to Piecewise Regression Models18 cited
  • 2019Quickest Change Detection in the Presence of a Nuisance Change18 cited
  • 2018The multiple filter test for change point detection in time series

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15 cited
  • 2018Detection of a change-point in variance by a weighted sum of powers of variances test15 cited
  • 2018Nonparametric change point detection in multivariate piecewise stationary time series15 cited