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A Novel Method for Fast Change-Point Detection on Simulated Time Series and Electrocardiogram Data
7 references·1 citing·28 second hop
A Novel Method for Fast Change-Point Detection on Simulated Time Series and Electrocardiogram Data (2014)A Novel Method for Fast Change-Point Dete…Change-Point Detection in Time-Series Data Based on Subspace Identification (2007)Change-Point Detection in Tim…Detecting Change in Data Streams (2004)Detecting Change in Data Stre…A peaks over threshold model for change-point detection by wavelets (2004)A peaks over threshold model …Detection and classification of multiple events in piecewise stationary signals: Comparison between autoregressive and multiscale approaches (1999)Detection and classification …The marginalized likelihood ratio test for detecting abrupt changes (1996)The marginalized likelihood r…Nonparametric methods in change-point problems: a general approach and some concrete algorithms (1994)Nonparametric methods in chan…Nonparametric Methods in Change-Point Problems (1993)Nonparametric Methods in Chan…On Matched Filtering for Statistical Change Point Detection (2020)On Matched Filtering for Stat…20 Nonparametric methods for changepoint problems (1988)Nonparametric Change-Point Estimation (1988)Detection of multiple change-points in multivariate data (2013)A nonparametric approach to detecting changes in variance in locally stationary time series (2019)Optimal nonparametric change point analysis (2021)Foundations for Financial Economics. (1989)Models for Exceedances Over High Thresholds (1990)Modelling of extremal events in insurance and finance (1994)Change‐Point Tests for the Error Distribution in Non‐parametric Regression (2009)A generalized change detection problem (1995)Detection of Abrupt Changes: Theory and Applications. (1995)An Algorithm Based on Singular Spectrum Analysis for Change-Point Detection (2003)Kernel Change-point Detection with Auxiliary Deep Generative Models (2019)Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation (2021)Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data (2022)Detection of Abrupt Changes in Signals and Dynamical Systems (1985)Detecting changes in signals and systems—A survey (1988)Change-point detection with feature selection in high-dimensional time-series data (2013)EWMA model based shift-detection methods for detecting covariate shifts in non-stationary environments (2014)CONTINUOUS INSPECTION SCHEMES (1954)A survey of methods for time series change point detection (2016)Selective review of offline change point detection methods (2019)Change-Point Detection in Time-Series Data by Direct Density-Ratio Estimation (2009)Sequential change‐point detection based on direct density‐ratio estimation (2011)What's Your Current Stress Level? Detection of Stress Patterns from GSR Sensor Data (2011)Structural breaks in time series (2012)Change-point detection in time-series data by relative density-ratio estimation (2013)Multiscale Change Point Inference (2014)
this work references cited by second hop

References

  • 2004Detecting Change in Data Streams809 cited
  • 1993Nonparametric Methods in Change-Point Problems625 cited
  • 1996The marginalized likelihood ratio test for detecting abrupt changes162 cited
  • 2007Change-Point Detection in Time-Series Data Based on Subspace Identification115 cited
  • 2004A peaks over threshold model for change-point detection by wavelets46 cited
  • 1994Nonparametric methods in change-point problems: a general approach and some concrete algorithms34 cited
  • 1999Detection and classification of multiple events in piecewise stationary signals: Comparison between autoregressive and multiscale approaches34 cited

Cited by

  • 2020On Matched Filtering for Statistical Change Point Detection12 cited

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