Nan Chen

According to our database, Nan Chen authored at least 13 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CGNSDE: Conditional Gaussian neural stochastic differential equation for modeling complex systems and data assimilation.

Chuanqi Chen, Nan Chen, Jinlong Wu

Comput. Phys. Commun., 2024

2023

An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems.

Changhong Mou, Nan Chen, Traian Iliescu

J. Comput. Phys., November, 2023

CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting.

Chuanqi Chen, Nan Chen, Jinlong Wu

CoRR, 2023

2020

Efficient nonlinear optimal smoothing and sampling algorithms for complex turbulent nonlinear dynamical systems with partial observations.

Nan Chen, Andrew J. Majda

J. Comput. Phys., 2020

Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics.

Nan Chen

J. Comput. Phys., 2020

Can Short and Partial Observations Reduce Model Error and Facilitate Machine Learning Prediction?

Nan Chen

Entropy, 2020

2019

A new efficient parameter estimation algorithm for high-dimensional complex nonlinear turbulent dynamical systems with partial observations.

Nan Chen, Andrew J. Majda

J. Comput. Phys., 2019

2018

Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions.

Nan Chen, Andrew J. Majda, Xin T. Tong

SIAM/ASA J. Uncertain. Quantification, 2018

Efficient statistically accurate algorithms for the Fokker-Planck equation in large dimensions.

Nan Chen, Andrew J. Majda

J. Comput. Phys., 2018

Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale Systems.

Andrew J. Majda, Nan Chen

Entropy, 2018

Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification.

Nan Chen, Andrew J. Majda

Entropy, 2018

2015

Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows.

Nan Chen, Andrew J. Majda, Xin T. Tong

J. Nonlinear Sci., 2015

2014

An MCMC Algorithm for Parameter Estimation in Signals with Hidden Intermittent Instability.

Nan Chen, Dimitrios Giannakis, Radu Herbei, Andrew J. Majda

SIAM/ASA J. Uncertain. Quantification, 2014