Analyzing dynamic association of multivariate time series based on method of directed limited penetrable visibility graph

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2019.123381 ◽

2020 ◽

Vol 545 ◽

pp. 123381

Author(s):

Xuan Yu ◽

Suixiang Shi ◽

Lingyu Xu ◽

Jie Yu ◽

Yaya Liu

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Visibility Graph ◽

Dynamic Association

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Vector visibility graph from multivariate time series: a new method for characterizing nonlinear dynamic behavior in two-phase flow

Nonlinear Dynamics ◽

10.1007/s11071-019-05147-7 ◽

2019 ◽

Vol 97 (4) ◽

pp. 2547-2556 ◽

Cited By ~ 2

Author(s):

Weikai Ren ◽

Ningde Jin

Keyword(s):

Time Series ◽

Dynamic Behavior ◽

Nonlinear Dynamic ◽

Two Phase Flow ◽

Multivariate Time Series ◽

Visibility Graph ◽

New Method ◽

Phase Flow ◽

Two Phase ◽

Nonlinear Dynamic Behavior

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Complexity analysis of multiscale multivariate time series based on entropy plane via vector visibility graph

Nonlinear Dynamics ◽

10.1007/s11071-020-05969-w ◽

2020 ◽

Vol 102 (3) ◽

pp. 1881-1895

Author(s):

Binbin Shang ◽

Pengjian Shang

Keyword(s):

Time Series ◽

Complexity Analysis ◽

Multivariate Time Series ◽

Visibility Graph

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Directed vector visibility graph from multivariate time series: a new method to measure time series irreversibility

Nonlinear Dynamics ◽

10.1007/s11071-021-06340-3 ◽

2021 ◽

Author(s):

Binbin Shang ◽

Pengjian Shang

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Visibility Graph ◽

New Method ◽

Time Series Irreversibility

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Discerning cognitive stages in a working memory and decision making task from human fMRI data using multivariate time series analysis

Frontiers in Computational Neuroscience ◽

10.3389/conf.fncom.2012.55.00228 ◽

2012 ◽

Vol 6 ◽

Author(s):

Durstewitz Daniel

Keyword(s):

Decision Making ◽

Working Memory ◽

Time Series ◽

Time Series Analysis ◽

Multivariate Time Series ◽

Fmri Data ◽

Series Analysis ◽

Multivariate Time Series Analysis

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Asymptotic Distributions of Functions of the Eigenvalues of the Sample Covariance Matrix and Canonical Correlation Matrix in Multivariate Time Series

10.21236/ada170282 ◽

1986 ◽

Author(s):

M. Taniguchi ◽

P. R. Krishnaiah

Keyword(s):

Time Series ◽

Covariance Matrix ◽

Canonical Correlation ◽

Correlation Matrix ◽

Multivariate Time Series ◽

Asymptotic Distributions ◽

Sample Covariance Matrix ◽

Sample Covariance

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Modeling Multivariate Time Series in Economics: From Auto-Regressions to Recurrent Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.3589337 ◽

2020 ◽

Author(s):

Sergiy Verstyuk

Keyword(s):

Neural Networks ◽

Time Series ◽

Recurrent Neural Networks ◽

Multivariate Time Series

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Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data

10.21437/interspeech.2016-571 ◽

2016 ◽

Cited By ~ 5

Author(s):

Colin Vaz ◽

Asterios Toutios ◽

Shrikanth S. Narayanan

Keyword(s):

Time Series ◽

Convex Hull ◽

Matrix Factorization ◽

Time Series Data ◽

Multivariate Time Series ◽

Temporal Patterns ◽

Series Data ◽

Non Negative Matrix Factorization

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Multivariate time-series clustering based on component relationship networks

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114649 ◽

2021 ◽

Vol 173 ◽

pp. 114649

Author(s):

Hailin Li ◽

Tian Du

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Clustering ◽

Relationship Networks

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Anomaly Detection of Periodic Multivariate Time Series under High Acquisition Frequency Scene in IoT

2020 International Conference on Data Mining Workshops (ICDMW) ◽

10.1109/icdmw51313.2020.00078 ◽

2020 ◽

Author(s):

Shuo Zhang ◽

XiaoFei Chen ◽

JiaYuan Chen ◽

Qiao Jiang ◽

Hejiao Huang

Keyword(s):

Time Series ◽

Anomaly Detection ◽

Multivariate Time Series

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Does volume or occupancy influence emergency access block? A multivariate time series analysis from a single emergency department in Sydney Australia during the COVID ‐19 pandemic

Emergency Medicine Australasia ◽

10.1111/1742-6723.13717 ◽

2021 ◽

Author(s):

Kendall Bein ◽

Saartje Berendsen Russell ◽

Sinéad Ní Bhraonáin ◽

Radhika V Seimon ◽

Michael M Dinh

Keyword(s):

Emergency Department ◽

Time Series ◽

Time Series Analysis ◽

Multivariate Time Series ◽

Series Analysis ◽

Multivariate Time Series Analysis ◽

Sydney Australia

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