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Gaussian Process Change Point Models
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Gaussian Process Change Point Models (2010)Gaussian Process Change Point ModelsBayesian Online Changepoint Detection (2007)Bayesian Online Changepoint D…On Default Correlation (2000)On Default CorrelationChange-point detection with deep learning: A review (2025)Change-point detection with d…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…BAYESIAN ONLINE CHANGE POINT DETECTION IN FINANCE (2022)BAYESIAN ONLINE CHANGE POINT …Change-point detection in hierarchical circadian models (2021)Change-point detection in hie…Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay (2020)Restarted Bayesian Online Cha…On Matched Filtering for Statistical Change Point Detection (2020)On Matched Filtering for Stat…Correlation-Aware Change-Point Detection via Graph Neural Networks (2020)Correlation-Aware Change-Poin…Kernel Change-point Detection with Auxiliary Deep Generative Models (2019)Kernel Change-point Detection…Bayesian Online Prediction of Change Points (2019)Bayesian Online Prediction of…Real-Time Change Point Detection with Application to Smart Home Time Series Data (2018)Real-Time Change Point Detect…An exact approach to Bayesian sequential change point detection (2015)An exact approach to Bayesian…CONTINUOUS INSPECTION SCHEMES (1954)A Test for a Change in a Parameter Occurring at an Unknown Point (1955)Procedures for Reacting to a Change in Distribution (1971)Detection of suicide-related posts in Twitter data streams (2018)Sequential (Quickest) Change Detection: Classical Results and New Directions (2021)Exponentially Weighted Moving Average Control Schemes: Properties and Enhancements (1990)Wild binary segmentation for multiple change-point detection (2014)A synchronous multiple change-point detecting method for manufacturing process (2022)Data segmentation for time series based on a general moving sum approach (2024)On the Pricing of Corporate Debt: The Risk Structure of Interest Rates (1974)ON THE PRICING OF CORPORATE DEBT: THE RISK STRUCTURE OF INTEREST RATES* (1974)An Introduction to Copulas (1999)Credit Risk: Modeling, Valuation and Hedging (2004)Copula Modeling: An Introduction for Practitioners (2007)Quantitative Risk Management (2011)Detection of Abrupt Changes: Theory and Applications. (1995)Understanding transportation modes based on GPS data for web applications (2010)Generalization of Change-Point Detection in Time Series Data Based on Direct Density Ratio Estimation (2020)WATCH: Wasserstein Change Point Detection for High-Dimensional Time Series Data (2021)Generalized Divergence-based Decision Making Method with an Application to Pattern Classification (2022)Nonparametric Methods in Change-Point Problems (1993)The marginalized likelihood ratio test for detecting abrupt changes (1996)A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data (2013)Change Point Detection in Multi-Channel Time Series via a Time-Invariant Representation (2023)A self-supervised contrastive change point detection method for industrial time series (2024)Parametric Statistical Change Point Analysis (2011)A survey of methods for time series change point detection (2016)An empirical evaluation of active inference in multi-armed bandits (2021)Forecasting time series with multiple seasonal patterns (2007)Least‐squares Estimation of an Unknown Number of Shifts in a Time Series (2000)Forecasting at Scale (2017)Change-point detection in time-series data by relative density-ratio estimation (2013)Artificial intelligence techniques in financial trading: A systematic literature review (2024)Automatic change-point detection in time series via deep learning (2024)Selective review of offline change point detection methods (2019)Online Neural Networks for Change-Point Detection (2026)
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References

  • 2000On Default Correlation1,257 cited
  • 2007Bayesian Online Changepoint Detection601 cited

Cited by

  • 2018Real-Time Change Point Detection with Application to Smart Home Time Series Data124 cited
  • 2015An exact approach to Bayesian sequential change point detection71 cited
  • 2022Real-time Change-Point Detection: A deep neural network-based adaptive approach for detecting changes in multivariate time series data51 cited
  • 2019Kernel Change-point Detection with Auxiliary Deep Generative Models46 cited
  • 2025Change-point detection with deep learning: A review22 cited
  • 2019Bayesian Online Prediction of Change Points16 cited
  • 2020Restarted Bayesian Online Change-point Detector achieves Optimal Detection Delay15 cited
  • 2022BAYESIAN ONLINE CHANGE POINT DETECTION IN FINANCE14 cited
  • 2020On Matched Filtering for Statistical Change Point Detection12 cited
  • 2020Correlation-Aware Change-Point Detection via Graph Neural Networks10 cited
  • 2021Change-point detection in hierarchical circadian models9 cited

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