High-Dimensional Cointegration and Kuramoto Inspired Systems

Research output: Contribution to journalJournal articleResearchpeer-review

Standard

High-Dimensional Cointegration and Kuramoto Inspired Systems. / Stærk-Østergaard, Jacob; Rahbek, Anders; Ditlevsen, Susanne.

In: SIAM Journal on Applied Dynamical Systems, Vol. 23, No. 1, 2024, p. 236-255.

Research output: Contribution to journalJournal articleResearchpeer-review

Harvard

Stærk-Østergaard, J, Rahbek, A & Ditlevsen, S 2024, 'High-Dimensional Cointegration and Kuramoto Inspired Systems', SIAM Journal on Applied Dynamical Systems, vol. 23, no. 1, pp. 236-255. https://doi.org/10.1137/22M1509771

APA

Stærk-Østergaard, J., Rahbek, A., & Ditlevsen, S. (2024). High-Dimensional Cointegration and Kuramoto Inspired Systems. SIAM Journal on Applied Dynamical Systems, 23(1), 236-255. https://doi.org/10.1137/22M1509771

Vancouver

Stærk-Østergaard J, Rahbek A, Ditlevsen S. High-Dimensional Cointegration and Kuramoto Inspired Systems. SIAM Journal on Applied Dynamical Systems. 2024;23(1):236-255. https://doi.org/10.1137/22M1509771

Author

Stærk-Østergaard, Jacob ; Rahbek, Anders ; Ditlevsen, Susanne. / High-Dimensional Cointegration and Kuramoto Inspired Systems. In: SIAM Journal on Applied Dynamical Systems. 2024 ; Vol. 23, No. 1. pp. 236-255.

Bibtex

@article{9e44f0c94689410e9c8dec1ae9e01124,
title = "High-Dimensional Cointegration and Kuramoto Inspired Systems",
abstract = "This paper presents a novel estimator for a nonstandard restriction to both symmetry and low rank in the context of high-dimensional cointegrated processes. Furthermore, we discuss rank estimation for high-dimensional cointegrated processes by restricted bootstrapping of the Gaussian innovations. We demonstrate that the classical rank test for cointegrated systems is prone to underestimating the true rank and demonstrate this effect in a 100-dimensional system. We also discuss the implications of this underestimation for such high-dimensional systems in general. Also, we define a linearized Kuramoto system and present a simulation study, where we infer the cointegration rank of the unrestricted system and successively the underlying clustered network structure based on a graphical approach and a symmetrized low rank estimator of the couplings derived from a reparametrization of the likelihood under this unusual restriction.",
author = "Jacob St{\ae}rk-{\O}stergaard and Anders Rahbek and Susanne Ditlevsen",
year = "2024",
doi = "10.1137/22M1509771",
language = "English",
volume = "23",
pages = "236--255",
journal = "SIAM Journal on Applied Dynamical Systems",
issn = "1536-0040",
publisher = "Society for Industrial and Applied Mathematics",
number = "1",

}

RIS

TY - JOUR

T1 - High-Dimensional Cointegration and Kuramoto Inspired Systems

AU - Stærk-Østergaard, Jacob

AU - Rahbek, Anders

AU - Ditlevsen, Susanne

PY - 2024

Y1 - 2024

N2 - This paper presents a novel estimator for a nonstandard restriction to both symmetry and low rank in the context of high-dimensional cointegrated processes. Furthermore, we discuss rank estimation for high-dimensional cointegrated processes by restricted bootstrapping of the Gaussian innovations. We demonstrate that the classical rank test for cointegrated systems is prone to underestimating the true rank and demonstrate this effect in a 100-dimensional system. We also discuss the implications of this underestimation for such high-dimensional systems in general. Also, we define a linearized Kuramoto system and present a simulation study, where we infer the cointegration rank of the unrestricted system and successively the underlying clustered network structure based on a graphical approach and a symmetrized low rank estimator of the couplings derived from a reparametrization of the likelihood under this unusual restriction.

AB - This paper presents a novel estimator for a nonstandard restriction to both symmetry and low rank in the context of high-dimensional cointegrated processes. Furthermore, we discuss rank estimation for high-dimensional cointegrated processes by restricted bootstrapping of the Gaussian innovations. We demonstrate that the classical rank test for cointegrated systems is prone to underestimating the true rank and demonstrate this effect in a 100-dimensional system. We also discuss the implications of this underestimation for such high-dimensional systems in general. Also, we define a linearized Kuramoto system and present a simulation study, where we infer the cointegration rank of the unrestricted system and successively the underlying clustered network structure based on a graphical approach and a symmetrized low rank estimator of the couplings derived from a reparametrization of the likelihood under this unusual restriction.

U2 - 10.1137/22M1509771

DO - 10.1137/22M1509771

M3 - Journal article

VL - 23

SP - 236

EP - 255

JO - SIAM Journal on Applied Dynamical Systems

JF - SIAM Journal on Applied Dynamical Systems

SN - 1536-0040

IS - 1

ER -

ID: 366645219