Andrew J. Majda

Publication Activity (10 Years)

Years Active: 1990-2020
Publications (10 Years): 15

Top Topics

Dynamical Systems

Extended Kalman Filters

Top Venues

J. Comput. Phys.

J. Nonlinear Sci.

Multiscale Model. Simul.

SIAM/ASA J. Uncertain. Quantification

Publications

M. Nicholas J. Moore, C. Tyler Bolles, Andrew J. Majda, Di Qi
Anomalous Waves Triggered by Abrupt Depth Changes: Laboratory Experiments and Truncated KdV Statistical Mechanics. J. Nonlinear Sci. 30 (6) (2020)
Nan Chen, Andrew J. Majda
Efficient nonlinear optimal smoothing and sampling algorithms for complex turbulent nonlinear dynamical systems with partial observations. J. Comput. Phys. 410 (2020)
Di Qi, Andrew J. Majda
Transient Metastability and Selective Decay for the Coherent Zonal Structures in Plasma Drift Wave Turbulence. J. Nonlinear Sci. 29 (5) (2019)
Nan Chen, Andrew J. Majda
A new efficient parameter estimation algorithm for high-dimensional complex nonlinear turbulent dynamical systems with partial observations. J. Comput. Phys. 397 (2019)
Michal Branicki, Andrew J. Majda, Kody J. H. Law
Accuracy of Some Approximate Gaussian Filters for the Navier-Stokes Equation in the Presence of Model Error. Multiscale Model. Simul. 16 (4) (2018)
Nan Chen, Andrew J. Majda, Xin T. Tong
Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions. SIAM/ASA J. Uncertain. Quantification 6 (3) (2018)
Nan Chen, Andrew J. Majda
Efficient statistically accurate algorithms for the Fokker-Planck equation in large dimensions. J. Comput. Phys. 354 (2018)
Andrew J. Majda, Di Qi
Strategies for Reduced-Order Models for Predicting the Statistical Responses and Uncertainty Quantification in Complex Turbulent Dynamical Systems. SIAM Rev. 60 (3) (2018)
Nan Chen, Andrew J. Majda
Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification. Entropy 20 (7) (2018)
Andrew J. Majda, Nan Chen
Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale Systems. Entropy 20 (9) (2018)
Di Qi, Andrew J. Majda
Rigorous Statistical Bounds in Uncertainty Quantification for One-Layer Turbulent Geophysical Flows. J. Nonlinear Sci. 28 (5) (2018)
Yoonsang Lee, Andrew J. Majda, Di Qi
Stochastic Superparameterization and Multiscale Filtering of Turbulent Tracers. Multiscale Model. Simul. 15 (1) (2017)
Noah D. Brenowitz, Dimitrios Giannakis, Andrew J. Majda
Nonlinear Laplacian spectral analysis of Rayleigh-Bénard convection. J. Comput. Phys. 315 (2016)
Andrew J. Majda, Xin T. Tong
Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion. J. Nonlinear Sci. 26 (5) (2016)
Andrew J. Majda, Di Qi
Improving Prediction Skill of Imperfect Turbulent Models Through Statistical Response and Information Theory. J. Nonlinear Sci. 26 (1) (2016)
Michal Branicki, Andrew J. Majda
An Information-Theoretic Framework for Improving Imperfect Dynamical Predictions Via Multi-Model Ensemble Forecasts. J. Nonlinear Sci. 25 (3) (2015)
Nan Chen, Andrew J. Majda, Xin T. Tong
Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows. J. Nonlinear Sci. 25 (3) (2015)
Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
Numerical Schemes for Stochastic Backscatter in the Inverse Cascade of Quasigeostrophic Turbulence. Multiscale Model. Simul. 13 (3) (2015)
Yoonsang Lee, Andrew J. Majda
Multiscale Methods for Data Assimilation in Turbulent Systems. Multiscale Model. Simul. 13 (2) (2015)
John Harlim, Adam Mahdi, Andrew J. Majda
An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models. J. Comput. Phys. 257 (2014)
Michèle De La Chevrotière, Boualem Khouider, Andrew J. Majda
Calibration of the Stochastic Multicloud Model Using Bayesian Inference. SIAM J. Sci. Comput. 36 (3) (2014)
Nan Chen, Dimitrios Giannakis, Radu Herbei, Andrew J. Majda
An MCMC Algorithm for Parameter Estimation in Signals with Hidden Intermittent Instability. SIAM/ASA J. Uncertain. Quantification 2 (1) (2014)
Ian G. Grooms, Andrew J. Majda
Stochastic superparameterization in quasigeostrophic turbulence. J. Comput. Phys. 271 (2014)
Andrew J. Majda, Ian G. Grooms
New perspectives on superparameterization for geophysical turbulence. J. Comput. Phys. 271 (2014)
Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
Ensemble Kalman filters for dynamical systems with unresolved turbulence. J. Comput. Phys. 273 (2014)
Dimitrios Giannakis, Andrew J. Majda
Nonlinear Laplacian spectral analysis: capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data. Stat. Anal. Data Min. 6 (3) (2013)
Michal Branicki, Andrew J. Majda
Dynamic Stochastic Superresolution of sparsely observed turbulent systems. J. Comput. Phys. 241 (2013)
John Harlim, Andrew J. Majda
Test Models for Filtering with Superparameterization. Multiscale Model. Simul. 11 (1) (2013)
Themistoklis P. Sapsis, Andrew J. Majda
Blending Modified Gaussian Closure and Non-Gaussian Reduced Subspace Methods for Turbulent Dynamical Systems. J. Nonlinear Sci. 23 (6) (2013)
Dimitrios Giannakis, Wen-wen Tung, Andrew J. Majda
Hierarchical structure of the Madden-Julian oscillation in infrared brightness temperature revealed through nonlinear Laplacian spectral analysis. CIDU (2012)
Michal Branicki, Boris Gershgorin, Andrew J. Majda
Filtering skill for turbulent signals for a suite of nonlinear and linear extended Kalman filters. J. Comput. Phys. 231 (4) (2012)
Dimitrios Giannakis, Andrew J. Majda
Nonlinear Laplacian spectral analysis: Capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data. CoRR (2012)
Dimitrios Giannakis, Andrew J. Majda
Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. CIDU (2011)
Boris Gershgorin, Andrew J. Majda
Filtering a statistically exactly solvable test model for turbulent tracers from partial observations. J. Comput. Phys. 230 (4) (2011)
Boris Gershgorin, John Harlim, Andrew J. Majda
Test models for improving filtering with model errors through stochastic parameter estimation. J. Comput. Phys. 229 (1) (2010)
Boris Gershgorin, John Harlim, Andrew J. Majda
Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation. J. Comput. Phys. 229 (1) (2010)
John Harlim, Andrew J. Majda
Mathematical strategies for filtering complex systems: Regularly spaced sparse observations. J. Comput. Phys. 227 (10) (2008)
Emilio Castronovo, John Harlim, Andrew J. Majda
Mathematical test criteria for filtering complex systems: Plentiful observations. J. Comput. Phys. 227 (7) (2008)
Rafail V. Abramov, Andrew J. Majda
New Approximations and Tests of Linear Fluctuation-Response for Chaotic Nonlinear Forced-Dissipative Dynamical Systems. J. Nonlinear Sci. 18 (3) (2008)
Rafail V. Abramov, Andrew J. Majda
Quantifying Uncertainty for Non-Gaussian Ensembles in Complex Systems. SIAM J. Sci. Comput. 26 (2) (2004)
Andrew J. Majda, Peter R. Kramer
Stochastic Mode Reduction for the Immersed Boundary Method. SIAM J. Appl. Math. 64 (2) (2004)
Andrew J. Majda, Peter R. Kramer
Stochastic Mode Reduction for Particle-Based Simulation Methods for Complex Microfluid Systems. SIAM J. Appl. Math. 64 (2) (2004)
Andrew J. Majda, D. W. McLaughlin, Roy H. Goodman
Modulations in the Leading Edges of Midlatitude Storm Tracks. SIAM J. Appl. Math. 62 (3) (2002)
Andrew J. Majda
Vorticity, Turbulence, and Acoustics in Fluid Flow. SIAM Rev. 33 (3) (1991)
Andrew J. Majda, Victor Roytburd
Numerical Study of the Mechanisms for Initiation of Reacting Shock Waves. SIAM J. Sci. Comput. 11 (5) (1990)