Multivariate time series approximation by multiple trajectories of a dynamical system. Applications to internet traffic and COVID-19 data

Mapping Intimacies ◽

10.1063/5.0033648 ◽

2020 ◽

Author(s):

V. Rayskin

Keyword(s):

Dynamical System ◽

Time Series ◽

Multivariate Time Series ◽

Internet Traffic ◽

Series Approximation

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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 ◽

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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A C4.5 Fuzzy Decision Tree Method for Multivariate Time Series Forecasting

2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz45933.2021.9494439 ◽

2021 ◽

Author(s):

Rafael R. C. Silva ◽

Walmir Matos Caminhas ◽

Petronio Candido de Lima e Silva ◽

Frederico Gadelha Guimaraes

Keyword(s):

Time Series ◽

Decision Tree ◽

Multivariate Time Series ◽

Time Series Forecasting ◽

Fuzzy Decision ◽

Fuzzy Decision Tree ◽

Decision Tree Method ◽

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Modeling Multivariate Time Series by Vector Error Correction Models (VECM) (Study: PT Kalbe Farma Tbk. and PT Kimia Farma (Persero) Tbk)

Journal of Physics Conference Series ◽

10.1088/1742-6596/1751/1/012013 ◽

2021 ◽

Vol 1751 ◽

pp. 012013

Author(s):

L Loves ◽

M Usman ◽

Warsono ◽

Widiarti ◽

E Russel

Keyword(s):

Time Series ◽

Error Correction ◽

Multivariate Time Series ◽

Error Correction Models ◽

Vector Error Correction ◽

Vector Error ◽

Vector Error Correction Models

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Learning Periods from Incomplete Multivariate Time Series

2020 IEEE International Conference on Data Mining (ICDM) ◽

10.1109/icdm50108.2020.00183 ◽

2020 ◽

Author(s):

Lin Zhang ◽

Alexander Gorovits ◽

Wenyu Zhang ◽

Petko Bogdanov

Keyword(s):

Time Series ◽

Multivariate Time Series

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