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Algebraic Change-Point Detection [PDF]
Applicable Algebra in Engineering, Communication and Computing, 2009 Elementary techniques from operational calculus, differential algebra, and noncommutative algebra lead to a new approach for change-point detection, which is an important field of investigation in various areas of applied sciences and engineering ...
Fliess, Michel +2 more
core +10 more sources
Graph-Based Change-Point Detection [PDF]
The Annals of Statistics, 2014 We consider the testing and estimation of change-points -- locations where the distribution abruptly changes -- in a data sequence. A new approach, based on scan statistics utilizing graphs representing the similarity between observations, is proposed ...
Chen, Hao, Zhang, Nancy
core +7 more sources
Change point detection for clustered expression data [PDF]
BMC Genomics, 2022 Background To detect changes in biological processes, samples are often studied at several time points. We examined expression data measured at different developmental stages, or more broadly, historical data.
Miriam Sieg +3 more
doaj +2 more sources
Sketching for sequential change-point detection [PDF]
EURASIP Journal on Advances in Signal Processing, 2019 We present sequential change-point detection procedures based on linear sketches of high-dimensional signal vectors using generalized likelihood ratio (GLR) statistics.
Yang Cao +3 more
doaj +3 more sources
Noise-Adaptive State Estimators with Change-Point Detection [PDF]
SensorsAiming at tracking sharply maneuvering targets, this paper develops novel variational adaptive state estimators for joint target state and process noise parameter estimation for a class of linear state-space models with abruptly changing parameters.
Xiaolei Hou +3 more
doaj +2 more sources
Change-Point Detection for Multi-Way Tensor-Based Frameworks [PDF]
Entropy, 2023 Graph-based change-point detection methods are often applied due to their advantages for using high-dimensional data. Most applications focus on extracting effective information of objects while ignoring their main features. However, in some applications,
Shanshan Qin, Ge Zhou, Yuehua Wu
doaj +2 more sources
Ordinal pattern-based change point detection. [PDF]
Test (Madr)Abstract The ordinal patterns of a fixed number of consecutive values in a time series are the spatial ordering of these values. Counting how often a specific ordinal pattern occurs in a time series provides important insights into the properties of the time series.
Betken A, Micali G, Schmidt-Hieber J.
europepmc +4 more sources
Causal Responsibility Division of Chronological Continuous Treatment Based on Change-Point Detection [PDF]
Entropy, 2023 This paper introduces a novel approach, called causal relation quantification, based on change-point detection to address the issue of harmonic responsibility division in power systems.
Hang Liu +3 more
doaj +2 more sources
Long signal change-point detection [PDF]
Electronic Journal of Statistics, 2015 The detection of change-points in a spatially or time ordered data sequence is an important problem in many fields such as genetics and finance.
Biau, Gérard +2 more
core +9 more sources
Change-Point Detection of Peak Tibial Acceleration in Overground Running Retraining. [PDF]
Sensors (Basel), 2020 A method is presented for detecting changes in the axial peak tibial acceleration while adapting to self-discovered lower-impact running. Ten runners with high peak tibial acceleration were equipped with a wearable auditory biofeedback system.
Van den Berghe P +5 more
europepmc +3 more sources