Linear response based parameter estimation in the presence of model error
From MaRDI portal
Publication:2124896
DOI10.1016/j.jcp.2021.110112OpenAlexW3120742709MaRDI QIDQ2124896
Publication date: 11 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1910.14113
Stochastic analysis (60Hxx) Probabilistic methods, stochastic differential equations (65Cxx) Time-dependent statistical mechanics (dynamic and nonequilibrium) (82Cxx)
Related Items (1)
Cites Work
- Unnamed Item
- Unnamed Item
- Predicting fat-tailed intermittent probability distributions in passive scalar turbulence with imperfect models through empirical information theory
- A weak trapezoidal method for a class of stochastic differential equations
- Molecular modeling and simulation. An interdisciplinary guide
- Modeling of missing dynamical systems: deriving parametric models using a nonparametric framework
- Data-based stochastic model reduction for the Kuramoto-Sivashinsky equation
- An equation-by-equation method for solving the multidimensional moment constrained maximum entropy problem
- Machine learning for prediction with missing dynamics
- Coarse-graining Langevin dynamics using reduced-order techniques
- A parameter estimation method using linear response statistics
- Ergodicity for SDEs and approximations: locally Lipschitz vector fields and degenerate noise.
- Solitons in a One-Dimensional Lennard-Jones Lattice
- Information Theory and Statistical Mechanics
- Statistical Mechanics of Nonequilibrium Liquids
- A simple framework to justify linear response theory
- Strategies for Reduced-Order Models for Predicting the Statistical Responses and Uncertainty Quantification in Complex Turbulent Dynamical Systems
- Kernel Mean Embedding of Distributions: A Review and Beyond
- A parameter estimation method using linear response statistics: Numerical scheme
- Data-driven parameterization of the generalized Langevin equation
- Stochastic Optimal Prediction for the Kuramoto--Sivashinsky Equation
- Stochastic Processes and Applications
- A new mode reduction strategy for the generalized Kuramoto-Sivashinsky equation
- Fourth-Order Time-Stepping for Stiff PDEs
- The role of additive and multiplicative noise in filtering complex dynamical systems
- Linear theory for filtering nonlinear multiscale systems with model error
- Multiscale Methods
- Information Theory and Stochastics for Multiscale Nonlinear Systems
- Improving prediction skill of imperfect turbulent models through statistical response and information theory
This page was built for publication: Linear response based parameter estimation in the presence of model error
