On the continuous time limit of the ensemble Kalman filter
From MaRDI portal
Publication:5131002
DOI10.1090/mcom/3588zbMath1458.60082arXiv1901.05204OpenAlexW2910711182MaRDI QIDQ5131002
Theresa Lange, Wilhelm Stannat
Publication date: 31 October 2020
Published in: Mathematics of Computation (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1901.05204
Filtering in stochastic control theory (93E11) Computational methods for stochastic equations (aspects of stochastic analysis) (60H35) Limit theorems in probability theory (60F99)
Related Items (13)
Continuous Time Limit of the Stochastic Ensemble Kalman Inversion: Strong Convergence Analysis ⋮ Convergence acceleration of ensemble Kalman inversion in nonlinear settings ⋮ Multilevel Ensemble Kalman–Bucy Filters ⋮ On the mathematical theory of ensemble (linear-Gaussian) Kalman-Bucy filtering ⋮ A theoretical analysis of one-dimensional discrete generation ensemble Kalman particle filters ⋮ Rough McKean-Vlasov dynamics for robust ensemble Kalman filtering ⋮ Data assimilation -- mathematical foundation and applications. Abstracts from the workshop held February 20--26, 2022 ⋮ Ensemble Kalman inversion: mean-field limit and convergence analysis ⋮ Ensemble Kalman inversion for nonlinear problems: weights, consistency, and variance bounds ⋮ Mean field limit of ensemble square root filters -- discrete and continuous time ⋮ Analysis of the feedback particle filter with diffusion map based approximation of the gain ⋮ Derivation of ensemble Kalman–Bucy filters with unbounded nonlinear coefficients ⋮ Gradient flow structure and convergence analysis of the ensemble Kalman inversion for nonlinear forward models
Cites Work
- Unnamed Item
- Strong convergence of an explicit numerical method for SDEs with nonglobally Lipschitz continuous coefficients
- A note on Euler approximations for SDEs with Hölder continuous diffusion coefficients
- On one-dimensional Riccati diffusions
- A note on the Euler-Maruyama scheme for stochastic differential equations with a discontinuous monotone drift coefficient
- Ensemble Kalman methods for inverse problems
- Well-posedness and accuracy of the ensemble Kalman filter in discrete and continuous time
- Numerical approximations of stochastic differential equations with non-globally Lipschitz continuous coefficients
- Mouvement brownien et espaces de besov
- Long-Time Stability and Accuracy of the Ensemble Kalman--Bucy Filter for Fully Observed Processes and Small Measurement Noise
- A Strongly Convergent Numerical Scheme from Ensemble Kalman Inversion
- Strong Convergence of Euler-Type Methods for Nonlinear Stochastic Differential Equations
- Data Assimilation
- Analysis of the Ensemble Kalman Filter for Inverse Problems
This page was built for publication: On the continuous time limit of the ensemble Kalman filter