Andrew J. Majda

47 papers Journal 45Unranked 2

Year	Rank	Type	Title / Venue / Authors
2020	J	`jnl`	Anomalous Waves Triggered by Abrupt Depth Changes: Laboratory Experiments and Truncated KdV Statistical Mechanics. J. Nonlinear Sci. M. Nicholas J. Moore, C. Tyler Bolles, Andrew J. Majda, Di Qi
2020	J	`jnl`	Efficient nonlinear optimal smoothing and sampling algorithms for complex turbulent nonlinear dynamical systems with partial observations. J. Comput. Phys. Nan Chen, Andrew J. Majda
2019	J	`jnl`	A new efficient parameter estimation algorithm for high-dimensional complex nonlinear turbulent dynamical systems with partial observations. J. Comput. Phys. Nan Chen, Andrew J. Majda
2019	J	`jnl`	Transient Metastability and Selective Decay for the Coherent Zonal Structures in Plasma Drift Wave Turbulence. J. Nonlinear Sci. Di Qi, Andrew J. Majda
2018	J	`jnl`	Accuracy of Some Approximate Gaussian Filters for the Navier-Stokes Equation in the Presence of Model Error. Multiscale Model. Simul. Michal Branicki, Andrew J. Majda, Kody J. H. Law
2018	J	`jnl`	Conditional Gaussian Systems for Multiscale Nonlinear Stochastic Systems: Prediction, State Estimation and Uncertainty Quantification. Entropy Nan Chen, Andrew J. Majda
2018	J	`jnl`	Efficient statistically accurate algorithms for the Fokker-Planck equation in large dimensions. J. Comput. Phys. Nan Chen, Andrew J. Majda
2018	J	`jnl`	Model Error, Information Barriers, State Estimation and Prediction in Complex Multiscale Systems. Entropy Andrew J. Majda, Nan Chen
2018	J	`jnl`	Rigorous Analysis for Efficient Statistically Accurate Algorithms for Solving Fokker-Planck Equations in Large Dimensions. SIAM/ASA J. Uncertain. Quantification Nan Chen, Andrew J. Majda, Xin T. Tong
2018	J	`jnl`	Rigorous Statistical Bounds in Uncertainty Quantification for One-Layer Turbulent Geophysical Flows. J. Nonlinear Sci. Di Qi, Andrew J. Majda
2018	J	`jnl`	Strategies for Reduced-Order Models for Predicting the Statistical Responses and Uncertainty Quantification in Complex Turbulent Dynamical Systems. SIAM Rev. Andrew J. Majda, Di Qi
2017	J	`jnl`	Stochastic Superparameterization and Multiscale Filtering of Turbulent Tracers. Multiscale Model. Simul. Yoonsang Lee, Andrew J. Majda, Di Qi
2016	J	`jnl`	Ergodicity of Truncated Stochastic Navier Stokes with Deterministic Forcing and Dispersion. J. Nonlinear Sci. Andrew J. Majda, Xin T. Tong
2016	J	`jnl`	Improving Prediction Skill of Imperfect Turbulent Models Through Statistical Response and Information Theory. J. Nonlinear Sci. Andrew J. Majda, Di Qi
2016	J	`jnl`	Nonlinear Laplacian spectral analysis of Rayleigh-Bénard convection. J. Comput. Phys. Noah D. Brenowitz, Dimitrios Giannakis, Andrew J. Majda
2015	J	`jnl`	An Information-Theoretic Framework for Improving Imperfect Dynamical Predictions Via Multi-Model Ensemble Forecasts. J. Nonlinear Sci. Michal Branicki, Andrew J. Majda
2015	J	`jnl`	Multiscale Methods for Data Assimilation in Turbulent Systems. Multiscale Model. Simul. Yoonsang Lee, Andrew J. Majda
2015	J	`jnl`	Noisy Lagrangian Tracers for Filtering Random Rotating Compressible Flows. J. Nonlinear Sci. Nan Chen, Andrew J. Majda, Xin T. Tong
2015	J	`jnl`	Numerical Schemes for Stochastic Backscatter in the Inverse Cascade of Quasigeostrophic Turbulence. Multiscale Model. Simul. Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
2014	J	`jnl`	An MCMC Algorithm for Parameter Estimation in Signals with Hidden Intermittent Instability. SIAM/ASA J. Uncertain. Quantification Nan Chen, Dimitrios Giannakis, Radu Herbei, Andrew J. Majda
2014	J	`jnl`	An ensemble Kalman filter for statistical estimation of physics constrained nonlinear regression models. J. Comput. Phys. John Harlim, Adam Mahdi, Andrew J. Majda
2014	J	`jnl`	Calibration of the Stochastic Multicloud Model Using Bayesian Inference. SIAM J. Sci. Comput. Michèle De La Chevrotière, Boualem Khouider, Andrew J. Majda
2014	J	`jnl`	Ensemble Kalman filters for dynamical systems with unresolved turbulence. J. Comput. Phys. Ian G. Grooms, Yoonsang Lee, Andrew J. Majda
2014	J	`jnl`	New perspectives on superparameterization for geophysical turbulence. J. Comput. Phys. Andrew J. Majda, Ian G. Grooms
2014	J	`jnl`	Stochastic superparameterization in quasigeostrophic turbulence. J. Comput. Phys. Ian G. Grooms, Andrew J. Majda
2013	J	`jnl`	An Adaptive Markov Chain Monte Carlo Approach to Time Series Clustering of Processes with Regime Transition Behavior. Multiscale Model. Simul. Jana de Wiljes, Andrew J. Majda, Illia Horenko
2013	J	`jnl`	Blending Modified Gaussian Closure and Non-Gaussian Reduced Subspace Methods for Turbulent Dynamical Systems. J. Nonlinear Sci. Themistoklis P. Sapsis, Andrew J. Majda
2013	J	`jnl`	Dynamic Stochastic Superresolution of sparsely observed turbulent systems. J. Comput. Phys. Michal Branicki, Andrew J. Majda
2013	J	`jnl`	Nonlinear Laplacian spectral analysis: capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data. Stat. Anal. Data Min. Dimitrios Giannakis, Andrew J. Majda
2013	J	`jnl`	Test Models for Filtering with Superparameterization. Multiscale Model. Simul. John Harlim, Andrew J. Majda
2012	J	`jnl`	Filtering skill for turbulent signals for a suite of nonlinear and linear extended Kalman filters. J. Comput. Phys. Michal Branicki, Boris Gershgorin, Andrew J. Majda
2012	—	`conf`	Hierarchical structure of the Madden-Julian oscillation in infrared brightness temperature revealed through nonlinear Laplacian spectral analysis. CIDU Dimitrios Giannakis, Wen-wen Tung, Andrew J. Majda
2012	J	`jnl`	Nonlinear Laplacian spectral analysis: Capturing intermittent and low-frequency spatiotemporal patterns in high-dimensional data. CoRR Dimitrios Giannakis, Andrew J. Majda
2011	J	`jnl`	Filtering a statistically exactly solvable test model for turbulent tracers from partial observations. J. Comput. Phys. Boris Gershgorin, Andrew J. Majda
2011	—	`conf`	Time Series Reconstruction via Machine Learning: Revealing Decadal Variability and Intermittency in the North Pacific Sector of a Coupled Climate Model. CIDU Dimitrios Giannakis, Andrew J. Majda
2010	J	`jnl`	Improving filtering and prediction of spatially extended turbulent systems with model errors through stochastic parameter estimation. J. Comput. Phys. Boris Gershgorin, John Harlim, Andrew J. Majda
2010	J	`jnl`	Test models for improving filtering with model errors through stochastic parameter estimation. J. Comput. Phys. Boris Gershgorin, John Harlim, Andrew J. Majda
2008	J	`jnl`	Mathematical strategies for filtering complex systems: Regularly spaced sparse observations. J. Comput. Phys. John Harlim, Andrew J. Majda
2008	J	`jnl`	Mathematical test criteria for filtering complex systems: Plentiful observations. J. Comput. Phys. Emilio Castronovo, John Harlim, Andrew J. Majda
2008	J	`jnl`	New Approximations and Tests of Linear Fluctuation-Response for Chaotic Nonlinear Forced-Dissipative Dynamical Systems. J. Nonlinear Sci. Rafail V. Abramov, Andrew J. Majda
2004	J	`jnl`	Quantifying Uncertainty for Non-Gaussian Ensembles in Complex Systems. SIAM J. Sci. Comput. Rafail V. Abramov, Andrew J. Majda
2004	J	`jnl`	Stochastic Mode Reduction for Particle-Based Simulation Methods for Complex Microfluid Systems. SIAM J. Appl. Math. Andrew J. Majda, Peter R. Kramer
2004	J	`jnl`	Stochastic Mode Reduction for the Immersed Boundary Method. SIAM J. Appl. Math. Andrew J. Majda, Peter R. Kramer
2002	J	`jnl`	Modulations in the Leading Edges of Midlatitude Storm Tracks. SIAM J. Appl. Math. Andrew J. Majda, D. W. McLaughlin, Roy H. Goodman
1991	J	`jnl`	Vorticity, Turbulence, and Acoustics in Fluid Flow. SIAM Rev. Andrew J. Majda
1990	J	`jnl`	Numerical Study of the Mechanisms for Initiation of Reacting Shock Waves. SIAM J. Sci. Comput. Andrew J. Majda, Victor Roytburd
1989	J	`jnl`	Amplification of Small-Amplitude High-Frequency Waves in a Reactive Mixture. SIAM Rev. Y. S. Choi, Andrew J. Majda