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Guðmundur Stefán Guðmundsson
(Gudmundur Stefan Gudmundsson)

Personal Details

First Name:Gudmundur
Middle Name:Stefan
Last Name:Gudmundsson
Suffix:
RePEc Short-ID:pgu658
[This author has chosen not to make the email address public]
https://sites.google.com/view/g-stefan/home
Terminal Degree: Departament d'Economia i Empresa; Universitat Pompeu Fabra; Barcelona School of Economics (BSE) (from RePEc Genealogy)

Affiliation

Institut for Økonomi
Aarhus Universitet

Aarhus, Denmark
http://econ.au.dk/
RePEc:edi:ifoaudk (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Christian Brownlees & Guðmundur Stefán Guðmundsson & Gábor Lugosi, 2022. "Community Detection in Partial Correlation Network Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 216-226, January.
  2. Guðmundsson, Guðmundur Stefán & Brownlees, Christian, 2021. "Detecting groups in large vector autoregressions," Journal of Econometrics, Elsevier, vol. 225(1), pages 2-26.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Christian Brownlees & Guðmundur Stefán Guðmundsson & Gábor Lugosi, 2022. "Community Detection in Partial Correlation Network Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 216-226, January.

    Cited by:

    1. Jianqing Fan & Ricardo Masini & Marcelo C. Medeiros, 2021. "Bridging factor and sparse models," Papers 2102.11341, arXiv.org, revised Sep 2022.

  2. Guðmundsson, Guðmundur Stefán & Brownlees, Christian, 2021. "Detecting groups in large vector autoregressions," Journal of Econometrics, Elsevier, vol. 225(1), pages 2-26.

    Cited by:

    1. Yigit Aydede & Jan Ditzen, 2022. "Identifying the regional drivers of influenza-like illness in Nova Scotia with dominance analysis," Papers 2212.06684, arXiv.org.
    2. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Inference of Grouped Time-Varying Network Vector Autoregression Models," Monash Econometrics and Business Statistics Working Papers 5/23, Monash University, Department of Econometrics and Business Statistics.
    3. Degui Li & Bin Peng & Songqiao Tang & Weibiao Wu, 2023. "Estimation of Grouped Time-Varying Network Vector Autoregression Models," Papers 2303.10117, arXiv.org, revised Mar 2024.
    4. Chen, Elynn Y. & Fan, Jianqing & Zhu, Xuening, 2023. "Community network auto-regression for high-dimensional time series," Journal of Econometrics, Elsevier, vol. 235(2), pages 1239-1256.

More information

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Statistics

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Co-authorship network on CollEc

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