Analysis and data-driven reconstruction of bivariate jump-diffusion processes

Leonardo Rydin Gorjão, Jan Heysel, Klaus Lehnertz, and M. Reza Rahimi Tabar
Phys. Rev. E 100, 062127 – Published 20 December 2019

Abstract

We introduce the bivariate jump-diffusion process, consisting of two-dimensional diffusion and two-dimensional jumps, that can be coupled to one another. We present a data-driven, nonparametric estimation procedure of higher-order (up to 8) Kramers-Moyal coefficients that allows one to reconstruct relevant aspects of the underlying jump-diffusion processes and to recover the underlying parameters. The procedure is validated with numerically integrated data using synthetic bivariate time series from continuous and discontinuous processes. We further evaluate the possibility of estimating the parameters of the jump-diffusion model via data-driven analyses of the higher-order Kramers-Moyal coefficients, and the limitations arising from the scarcity of points in the data or disproportionate parameters in the system.

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  • Received 27 September 2019

DOI:https://doi.org/10.1103/PhysRevE.100.062127

©2019 American Physical Society

Physics Subject Headings (PhySH)

Statistical Physics & Thermodynamics

Authors & Affiliations

Leonardo Rydin Gorjão1,2,3,4,*, Jan Heysel1,2,†, Klaus Lehnertz1,2,5,‡, and M. Reza Rahimi Tabar6,7,§

  • 1Department of Epileptology, University of Bonn, Venusberg Campus 1, 53127 Bonn, Germany
  • 2Helmholtz Institute for Radiation and Nuclear Physics, University of Bonn, Nussallee 14-16, 53115 Bonn, Germany
  • 3Forschungszentrum Jülich, Institute for Energy and Climate Research—Systems Analysis and Technology Evaluation (IEK-STE), 52428 Jülich, Germany
  • 4Institute for Theoretical Physics, University of Cologne, 50937 Köln, Germany
  • 5Interdisciplinary Centre for Complex Systems, University of Bonn, Brühler Straße 7, 53175 Bonn, Germany
  • 6Institute of Physics and ForWind, Carl von Ossietzky University of Oldenburg, Carl-von-Ossietzky-Straße 9-11, 26111 Oldenburg, Germany
  • 7Department of Physics, Sharif University of Technology, 11365-9161 Tehran, Iran

  • *l.rydin.gorjao@fz-juelich.de
  • jan.heysel@uni-bonn.de
  • klaus.lehnertz@ukbonn.de
  • §tabar@uni-oldenburg.de

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Issue

Vol. 100, Iss. 6 — December 2019

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