Extracting Governing Laws from Sample Path Data of Non-Gaussian Stochastic Dynamical Systems

21 July 2021

Papers citing "Extracting Governing Laws from Sample Path Data of Non-Gaussian Stochastic Dynamical Systems"

6 / 6 papers shown

Title
An evolutionary approach for discovering non-Gaussian stochastic dynamical systems based on nonlocal Kramers-Moyal formulas Yang Li Shengyuan Xu Jinqiao Duan 26 0 0 29 Sep 2024
Early warning indicators via latent stochastic dynamical systems Lingyu Feng Ting Gao Wang Xiao Jinqiao Duan 17 2 0 07 Sep 2023
Drift Identification for Lévy alpha-Stable Stochastic Systems Harish S. Bhat 37 1 0 06 Dec 2022
An end-to-end deep learning approach for extracting stochastic dynamical systems with $α$ -stable Lévy noise Cheng Fang Yubin Lu Ting Gao Jinqiao Duan 55 16 0 31 Jan 2022
Learning Mean-Field Equations from Particle Data Using WSINDy Daniel Messenger David M. Bortz 34 37 0 14 Oct 2021
Extracting stochastic dynamical systems with $α$ -stable Lévy noise from data Yang Li Yubin Lu Shengyuan Xu Jinqiao Duan 23 14 0 30 Sep 2021