An MCMC Algorithm for Parameter Estimation in Signals with Hidden Intermittent Instability. - Nan Chen 004; Dimitrios Giannakis; Radu Herbei; Andrew J. Majda (SIAM/ASA J. Uncertain. Quantification, 2014)

Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows. - Nan Chen 004; Andrew J. Majda; Xin T. Tong (J. Nonlinear Sci., 2015)

Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification. - Nan Chen 004; Andrew J. Majda (Entropy, 2018)

Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale Systems. - Andrew J. Majda; Nan Chen 004 (Entropy, 2018)

Efficient statistically accurate algorithms for the Fokker-Planck equation in large dimensions. - Nan Chen 004; Andrew J. Majda (J. Comput. Phys., 2018)

Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions. - Nan Chen 004; Andrew J. Majda; Xin T. Tong (SIAM/ASA J. Uncertain. Quantification, 2018)

A new efficient parameter estimation algorithm for high-dimensional complex nonlinear turbulent dynamical systems with partial observations. - Nan Chen 004; Andrew J. Majda (J. Comput. Phys., 2019)

Can Short and Partial Observations Reduce Model Error and Facilitate Machine Learning Prediction? - Nan Chen 004 (Entropy, 2020)

Learning nonlinear turbulent dynamics from partial observations via analytically solvable conditional statistics. - Nan Chen 004 (J. Comput. Phys., 2020)

Efficient nonlinear optimal smoothing and sampling algorithms for complex turbulent nonlinear dynamical systems with partial observations. - Nan Chen 004; Andrew J. Majda (J. Comput. Phys., 2020)

CEBoosting: Online Sparse Identification of Dynamical Systems with Regime Switching by Causation Entropy Boosting. - Chuanqi Chen; Nan Chen 004; Jinlong Wu (CoRR, 2023)

An efficient data-driven multiscale stochastic reduced order modeling framework for complex systems. - Changhong Mou; Nan Chen 004; Traian Iliescu (J. Comput. Phys., 2023)

CGNSDE: Conditional Gaussian neural stochastic differential equation for modeling complex systems and data assimilation. - Chuanqi Chen; Nan Chen 004; Jinlong Wu (Comput. Phys. Commun., 2024)