High-Dimensional Cointegration and Kuramoto Inspired Systems
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High-Dimensional Cointegration and Kuramoto Inspired Systems. / Stærk-Østergaard, Jacob; Rahbek, Anders; Ditlevsen, Susanne.
I: SIAM Journal on Applied Dynamical Systems, Bind 23, Nr. 1, 2024, s. 236-255.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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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