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Automatic change-point detection in time series via deep learning
12 references·1 citing·33 second hop
Automatic change-point detection in time series via deep learning (2024)Automatic change-point detection in time …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…Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation (2021)Change Point Detection in Tim…Selective review of offline change point detection methods (2019)Selective review of offline c…Detecting Changes in Slope With an L0 Penalty (2018)Detecting Changes in Slope Wi…High Dimensional Change Point Estimation via Sparse Projection (2017)High Dimensional Change Point…A MOSUM procedure for the estimation of multiple random change points (2017)A MOSUM procedure for the est…Computationally Efficient Changepoint Detection for a Range of Penalties (2015)Computationally Efficient Cha…Wild binary segmentation for multiple change-point detection (2014)Wild binary segmentation for …Inference for single and multiple change‐points in time series (2013)Inference for single and mult…Optimal Detection of Changepoints With a Linear Computational Cost (2012)Optimal Detection of Changepo…Change point detection with multivariate control charts by artificial neural network (2009)Change point detection with m…Tests for a Change-Point (1987)Tests for a Change-PointChange-point detection with deep learning: A review (2025)Change-point detection with d…CONTINUOUS INSPECTION SCHEMES (1954)Estimating the Current Mean of a Normal Distribution which is Subjected to Changes in Time (1964)Testing a Sequence of Observations for a Shift in Location (1977)The Likelihood Ratio Test for a Change-Point in Simple Linear Regression (1989)The Maximum Likelihood Method for Testing Changes in the Parameters of Normal Observations (1993)Statistical Surveillance. Optimality and Methods (2003)Tests for Parameter Instability and Structural Change With Unknown Change Point (1993)Inference for Multiple Change Points in Time Series via Likelihood Ratio Scan Statistics (2015)A computationally efficient nonparametric approach for changepoint detection (2016)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)Detection of Changes in Multivariate Time Series With Application to EEG Data (2014)Change-point detection in panel data via double CUSUM statistic (2016)changepoint : An R Package for Changepoint Analysis (2014)New efficient algorithms for multiple change-point detection with reproducing kernels (2018)Seeded binary segmentation: a general methodology for fast and optimal changepoint detection (2022)Estimating the number of change-points via Schwarz' criterion (1988)Data segmentation algorithms: Univariate mean change and beyond (2021)Detecting multiple generalized change-points by isolating single ones (2021)Testing for a Change in Mean after Changepoint Detection (2022)Rank Correlation Methods. (1957)Rank Correlation Methods (1973)A Survey on Concept Drift in Process Mining (2021)Sequential (Quickest) Change Detection: Classical Results and New Directions (2021)Time lag effects of COVID-19 policies on transportation systems: A comparative study of New York City and Seattle (2021)Minimax Theorems (1997)Natural Scales in Geographical Patterns (2017)Univariate mean change point detection: Penalization, CUSUM and optimality (2020)Nonparametric Methods in Change-Point Problems (1993)A survey of methods for time series change point detection (2016)Online Neural Networks for Change-Point Detection (2026)Multiscale Change Point Inference (2014)On optimal multiple changepoint algorithms for large data (2016)
this work references cited by second hop

References

  • 2012Optimal Detection of Changepoints With a Linear Computational Cost2,578 cited
  • 2019Selective review of offline change point detection methods1,361 cited
  • 2014Wild binary segmentation for multiple change-point detection721 cited
  • 1987Tests for a Change-Point225 cited
  • 2017High Dimensional Change Point Estimation via Sparse Projection224 cited
  • 2013Inference for single and multiple change‐points in time series148 cited
  • 2017A MOSUM procedure for the estimation of multiple random change points144 cited
  • 2015Computationally Efficient Changepoint Detection for a Range of Penalties115 cited
  • 2021Change Point Detection in Time Series Data Using Autoencoders With a Time-Invariant Representation85 cited
  • 2018Detecting Changes in Slope With an L0 Penalty70 cited
  • 2009Change point detection with multivariate control charts by artificial neural network57 cited
  • 2022Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data51 cited

Cited by

  • 2025Change-point detection with deep learning: A review22 cited

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