Yang Li

activity

20202023

most citedA Data-Driven Approach for Discovering Stochastic Dynamical Systems with Non-Gaussian Levy Noise

77 citations · 214 across the 11 of their papers we have counts for

collaborators

Showing 2021Show all

3 papers · 1 filter

stat.ML2021

Extracting stochastic dynamical systems with $α$ -stable Lévy noise from data

Yang Li, Yubin Lu, Shengyuan Xu +1

With the rapid increase of valuable observational, experimental and simulated data for complex systems, much efforts have been devoted to identifying governing laws underlying the…

math.DS2021★ 17 cited

Extracting Stochastic Governing Laws by Nonlocal Kramers-Moyal Formulas

Yubin Lu, Yang Li, Jinqiao Duan

With the rapid development of computational techniques and scientific tools, great progress of data-driven analysis has been made to extract governing laws of dynamical systems fro…

math.ST2021★ 27 cited

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

Yang Li, Jinqiao Duan

Advances in data science are leading to new progresses in the analysis and understanding of complex dynamics for systems with experimental and observational data. With numerous phy…

Extracting stochastic dynamical systems with α-stable Lévy noise from data

Extracting Stochastic Governing Laws by Nonlocal Kramers-Moyal Formulas

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

Extracting stochastic dynamical systems with $α$ -stable Lévy noise from data