Bayesian modeling of multivariate time series of counts

Wiley Interdisciplinary Reviews Computational Statistics ◽

10.1002/wics.1559 ◽

2021 ◽

Author(s):

Refik Soyer ◽

Di Zhang

Keyword(s):

Time Series ◽

Bayesian Modeling ◽

Multivariate Time Series ◽

Time Series Of Counts

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Modelling non-stationary multivariate time series of counts via common factors

Journal of the Royal Statistical Society Series B (Statistical Methodology) ◽

10.1111/rssb.12271 ◽

2018 ◽

Vol 80 (4) ◽

pp. 769-791 ◽

Cited By ~ 1

Author(s):

Fangfang Wang ◽

Haonan Wang

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Common Factors ◽

Time Series Of Counts

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Modeling, simulation and inference for multivariate time series of counts using trawl processes

Journal of Multivariate Analysis ◽

10.1016/j.jmva.2018.08.012 ◽

2019 ◽

Vol 169 ◽

pp. 110-129 ◽

Cited By ~ 4

Author(s):

Almut E.D. Veraart

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Of Counts ◽

Modeling Simulation

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Bayesian Modeling of Time Series of Counts with Business Applications

Handbook of Discrete-Valued Time Series ◽

10.1201/b19485-17 ◽

2016 ◽

pp. 265-284

Keyword(s):

Time Series ◽

Bayesian Modeling ◽

Time Series Of Counts ◽

Business Applications

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Modelling, Simulation and Inference for Multivariate Time Series of Counts Using Trawl Processes

SSRN Electronic Journal ◽

10.2139/ssrn.3100076 ◽

2018 ◽

Cited By ~ 2

Author(s):

Almut Veraart

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Of Counts ◽

Modelling Simulation

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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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Extreme Overdispersion and Persistence in Time-Series of Counts

SSRN Electronic Journal ◽

10.2139/ssrn.3661266 ◽

2020 ◽

Author(s):

Leopoldo Catania ◽

Eduardo Rossi ◽

Paolo Santucci de Magistris

Keyword(s):

Time Series ◽

Time Series Of Counts

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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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