Results 171 to 180 of about 1,148,061 (201)

Parallelization of Change Point Detection

The Journal of Physical Chemistry A, 2017
The change point detection method ( Watkins , L. P. ; Yang , H. J. Phys. Chem. B 2005 , 109 , 617 ) allows the objective identification and isolation of abrupt changes along a data series. Because this method is grounded in statistical tests, it is particularly powerful for probing complex and noisy signals without artificially imposing a kinetics ...
Nancy Song, Haw Yang
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Multiscale Change Point Detection

Theory of Probability & Its Applications, 2017
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Suvorikova, A., Spokoiny, V.
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Change Point Detection

2021
In situ TEM and other dynamic imaging instruments alter the landscape of materials science and engineering. The unique and unprecedented ability to observe the transformation of nanoscale objects as it occurs is unparalleled in comparison to other material characterization methods, and is of tremendous value to material scientists and engineers who ...
Chiwoo Park, Yu Ding
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Greedy Kernel Change-Point Detection

IEEE Transactions on Signal Processing, 2019
We consider the problem of detecting abrupt changes in the underlying stochastic structure of multivariate signals. A novel non-parametric and model-free off-line change-point detection method based on a kernel mapping is presented. This approach is sequential and alternates between two steps: a greedy detection to estimate a new breakpoint and a ...
Charles Truong, Laurent Oudre, Nicolas Vayatis   +2 more
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Change-Point Detection in Angular Data

Annals of the Institute of Statistical Mathematics, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Grabovsky, Irina, Horváth, Lajos
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Change‐point detection in panel data

Journal of Time Series Analysis, 2012
We consider N panels and each panel is based on T observations. We are interested to test if the means of the panels remain the same during the observation period against the alternative that the means change at an unknown time. We provide tests which are derived from a likelihood argument and they are based on the adaptation of the CUSUM method to ...
Horváth, Lajos, Hušková, Marie
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Hubness Change Point Detection

Proceedings of the AAAI Conference on Artificial Intelligence
This study proposes a new change detection method that leverages hubness. Hubness is a phenomenon that occurs in high-dimensional spaces, where certain special data points, known as hub data, tend to be closer to other data points. Hubness is known to degrade the accuracy of methods based on nearest neighbor search.
Ikumi Suzuki, Kazuo Hara, Eiji Murakami
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Detecting change-points in Markov chains

Computational Statistics & Data Analysis, 2007
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Change-Point Detection in Kinetic Signals

2000
A method to precisely determine the onset of voluntary discrete movements in kinetic signals (e.g. joint angle) is presented. The movement onset is identified as an abrupt change in the (time varying) parameters of a statistical process model. An adaptive Kalman whitening filter transforms the digitized kinetic signal into a sequence of innovations ...
Gerhard H. Staude, Werner Wolf
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ON CHANGE POINT DETECTION AND ESTIMATION

Communications in Statistics - Simulation and Computation, 2001
In this paper, a survey of the change point detection and estimation will be given. Change point problem primarily arose from the process of quality control in which one is concerned about the outp...
Jie Chen, A. K. Gupta
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