Results 11 to 20 of about 2,607,610 (251)
Multiple Change-point Detection: a Selective Overview
Statistical Science, 2016 Very long and noisy sequence data arise from biological sciences to social science including high throughput data in genomics and stock prices in econometrics.
Hao, Ning, Niu, Yue S., Zhang, Heping
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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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A Matrix Information-Geometric Method for Change-Point Detection of Rigid Body Motion [PDF]
Entropy, 2019 A matrix information-geometric method was developed to detect the change-points of rigid body motions. Note that the set of all rigid body motions is the special Euclidean group S E ( 3 ) , so the Riemannian mean based on the Lie group structures ...
Xiaomin Duan, Huafei Sun, Xinyu Zhao
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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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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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Fréchet change-point detection [PDF]
The Annals of Statistics, 2020 We propose a method to infer the presence and location of change-points in the distribution of a sequence of independent data taking values in a general metric space, where change-points are viewed as locations at which the distribution of the data sequence changes abruptly in terms of either its Fr chet mean or Fr chet variance or both. The proposed
Dubey, Paromita, Müller, Hans-Georg
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Change-point detection, segmentation, and related topics [PDF]
ESAIM: Proceedings and Surveys, 2020 Recent contributions to change-point detection, segmentation and inference for non-regular models are presented. Various problems are considered including the multiple change-point estimation with adaptive penalty for time series with different ...
Bardet Jean-Marc +4 more
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Optimal change point detection and localization in sparse dynamic networks [PDF]
, 2021 We study the problem of change point localization in dynamic networks models. We assume that we observe a sequence of independent adjacency matrices of the same size, each corresponding to a realization of an unknown inhomogeneous Bernoulli model.
Rinaldo, Alessandro, Wang, Daren, Yu, Yi
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Change Point Detection Using Penalized Multidegree Splines
Axioms, 2021 We consider a function estimation method with change point detection using truncated power spline basis and elastic-net-type L1-norm penalty. The L1-norm penalty controls the jump detection and smoothness depending on the value of the parameter. In terms
Eun-Ji Lee, Jae-Hwan Jhong
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