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Proceedings of the National Academy of Sciences of the United States of America|November 22, 2017
Beating the curse of dimension with accurate statistics for the Fokker-Planck equation in complex turbulent systemsNan Chen, Andrew J MajdaChaos (Woodbury, N.Y.)|April 3, 2020
Predicting observed and hidden extreme events in complex nonlinear dynamical systems with partial observations and short training time seriesNan Chen, Andrew J MajdaProceedings of the National Academy of Sciences of the United States of America|March 15, 2013
Efficient stochastic superparameterization for geophysical turbulenceIan Grooms, Andrew J MajdaProceedings of the National Academy of Sciences of the United States of America|February 7, 2002
Stochastic and mesoscopic models for tropical convectionAndrew J Majda, Boualem KhouiderProceedings of the National Academy of Sciences of the United States of America|October 5, 2016
Simple dynamical models capturing the key features of the Central Pacific El NiñoNan Chen, Andrew J MajdaProceedings of the National Academy of Sciences of the United States of America|February 7, 2012
Nonlinear Laplacian spectral analysis for time series with intermittency and low-frequency variabilityDimitrios Giannakis, Andrew J MajdaEntropy (Basel, Switzerland)|December 3, 2020
Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale SystemsAndrew J Majda, Nan ChenProceedings of the National Academy of Sciences of the United States of America|December 9, 2016
State estimation and prediction using clustered particle filtersYoonsang Lee, Andrew J MajdaProceedings of the National Academy of Sciences of the United States of America|May 17, 2017
Effective control of complex turbulent dynamical systems through statistical functionalsAndrew J Majda, Di QiProceedings of the National Academy of Sciences of the United States of America|June 8, 2011
Improving model fidelity and sensitivity for complex systems through empirical information theoryAndrew J Majda, Boris GershgorinPageof 5