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1411.0858
Cited By
Wild binary segmentation for multiple change-point detection
4 November 2014
Piotr Fryzlewicz
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Papers citing
"Wild binary segmentation for multiple change-point detection"
50 / 166 papers shown
Title
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Neural Network-Based Change Point Detection for Large-Scale Time-Evolving Data
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13 Mar 2025
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
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Qiuzhuang Sun
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Huadong Mo
Daoyi Dong
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24 Feb 2025
Segmenting Watermarked Texts From Language Models
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Xianyang Zhang
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160
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Finite Sample Complexity Analysis of Binary Segmentation
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11 Oct 2024
Improved identification of breakpoints in piecewise regression and its applications
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Hyungu Lee
Hayoung Choi
123
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25 Aug 2024
Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
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Xiaoqi Liu
Julia Gontarek
R. Venkataramanan
208
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11 Apr 2024
Multiscale Quantile Regression with Local Error Control
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Housen Li
204
1
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17 Mar 2024
Multiple change point detection in functional data with applications to biomechanical fatigue data
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Rupsa Basu
Holger Dette
325
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0
18 Dec 2023
Online Multivariate Changepoint Detection: Leveraging Links With Computational Geometry
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Gaetano Romano
Paul Fearnhead
Vincent Runge
G. Rigaill
226
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0
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An Automated Machine Learning Approach for Detecting Anomalous Peak Patterns in Time Series Data from a Research Watershed in the Northeastern United States Critical Zone
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Ijazul Haq
Byung Suk Lee
Donna M. Rizzo
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210
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0
14 Sep 2023
Change Point Detection with Conceptors
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J. Rodu
110
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11 Aug 2023
Fast and Optimal Inference for Change Points in Piecewise Polynomials via Differencing
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161
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Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection
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Guanghui Wang
Changliang Zou
199
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03 Jul 2023
Geometric-Based Pruning Rules For Change Point Detection in Multiple Independent Time Series
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G. Rigaill
Vincent Runge
162
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15 Jun 2023
Online Heavy-tailed Change-point detection
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Abishek Sankararaman
Balakrishnan
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182
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Robust mean change point testing in high-dimensional data with heavy tails
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Yudong Chen
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Yi Yu
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290
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Unsupervised Change Point Detection for heterogeneous sensor signals
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104
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Testing for jumps in processes with integral fractional part and jump-robust inference on the Hurst exponent
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151
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A Multi-Task Deep Learning Approach for Sensor-based Human Activity Recognition and Segmentation
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Tao Zhu
Jinqiang Wang
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Huansheng Ning
Yaping Wan
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142
21
0
20 Mar 2023
On Rank Energy Statistics via Optimal Transport: Continuity, Convergence, and Change Point Detection
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James M. Murphy
Shuchin Aeron
159
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Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis
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148
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Minimizing Change-Point Estimation Error
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98
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Change point detection and inference in multivariable nonparametric models under mixing conditions
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Haotian Xu
Daren Wang
Oscar Hernan Madrid Padilla
Yi Yu
135
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Detecting Changes in the Transmission Rate of a Stochastic Epidemic Model
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Smoothing splines for discontinuous signals
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Doubly Inhomogeneous Reinforcement Learning
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Mengbing Li
C. Shi
Zhanghua Wu
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312
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Automatic Change-Point Detection in Time Series via Deep Learning
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Paul Fearnhead
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Teng Wang
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159
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Sequential Gradient Descent and Quasi-Newton's Method for Change-Point Analysis
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A Semiparametric Approach to the Detection of Change-points in Volatility Dynamics of Financial Data
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D. Grose
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Latent Neural Stochastic Differential Equations for Change Point Detection
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Artem Sergeevich Ryzhikov
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188
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Sparse change detection in high-dimensional linear regression
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Change point detection in high dimensional data with U-statistics
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Data Segmentation for Time Series Based on a General Moving Sum Approach
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Dynamic and heterogeneous treatment effects with abrupt changes
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Consistent Estimation of Multiple Breakpoints in Dependence Measures
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Detecting Abrupt Changes in Sequential Pairwise Comparison Data
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Daren Wang
Alessandro Rinaldo
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Network change point localisation under local differential privacy
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Mengchu Li
Thomas B. Berrett
Yi Yu
219
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Random Forests for Change Point Detection
Journal of machine learning research (JMLR), 2022
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169
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Testing Stationarity and Change Point Detection in Reinforcement Learning
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Mengbing Li
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Zhanghua Wu
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Subspace Change-Point Detection via Low-Rank Matrix Factorisation
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1
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