Results 1 to 10 of about 920,349 (257)
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
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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
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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
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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
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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
Leveraging change point detection to discover natural experiments in data [PDF]
EPJ Data Science, 2022 Change point detection has many practical applications, from anomaly detection in data to scene changes in robotics; however, finding changes in high dimensional data is an ongoing challenge. We describe a self-training model-agnostic framework to detect
Yuzi He +2 more
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Size agnostic change point detection framework for evolving networks. [PDF]
PLoS ONE, 2020 Changes in the structure of observed social and complex networks can indicate a significant underlying change in an organization, or reflect the response of the network to an external event.
Hadar Miller, Osnat Mokryn
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Sequential Change-Point Detection via Online Convex Optimization [PDF]
Entropy, 2018 Sequential change-point detection when the distribution parameters are unknown is a fundamental problem in statistics and machine learning. When the post-change parameters are unknown, we consider a set of detection procedures based on sequential ...
Yang Cao, Liyan Xie, Yao Xie, Huan Xu
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Change Point Detection in Correlation Networks. [PDF]
Sci Rep, 2016 AbstractMany systems of interacting elements can be conceptualized as networks, where network nodes represent the elements and network ties represent interactions between the elements. In systems where the underlying network evolves, it is useful to determine the points in time where the network structure changes significantly as these may correspond ...
Barnett I, Onnela JP.
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Change-Point Detection Using the Conditional Entropy of Ordinal Patterns [PDF]
Entropy, 2018 This paper is devoted to change-point detection using only the ordinal structure of a time series. A statistic based on the conditional entropy of ordinal patterns characterizing the local up and down in a time series is introduced and investigated.
Anton M. Unakafov, Karsten Keller
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