The following pages link to Data Assimilation (Q5261548):
Displaying 50 items.
- Multilevel Markov Chain Monte Carlo for Bayesian Inversion of Parabolic Partial Differential Equations under Gaussian Prior (Q4995109) (← links)
- Fokker--Planck Particle Systems for Bayesian Inference: Computational Approaches (Q4995111) (← links)
- Model Error Estimation Using the Expectation Maximization Algorithm and a Particle Flow Filter (Q4995119) (← links)
- A Multifidelity Ensemble Kalman Filter with Reduced Order Control Variates (Q4997361) (← links)
- Data-driven prediction of multistable systems from sparse measurements (Q5000863) (← links)
- Continuous Data Assimilation for the Three-Dimensional Navier--Stokes Equations (Q5014295) (← links)
- Data Assimilation for the Navier--Stokes Equations Using Local Observables (Q5016779) (← links)
- Uncertainty Quantification of Bifurcations in Random Ordinary Differential Equations (Q5016784) (← links)
- The Morozov’s principle applied to data assimilation problems (Q5044413) (← links)
- Efficient derivative-free Bayesian inference for large-scale inverse problems (Q5044981) (← links)
- Sparse Online Variational Bayesian Regression (Q5052896) (← links)
- Log-normalization constant estimation using the ensemble Kalman–Bucy filter with application to high-dimensional models (Q5055363) (← links)
- Convergence acceleration of ensemble Kalman inversion in nonlinear settings (Q5070540) (← links)
- Convergence analysis of a viscosity parameter recovery algorithm for the 2D Navier–Stokes equations (Q5072397) (← links)
- Shadowing-Based Data Assimilation Method for Partially Observed Models (Q5072976) (← links)
- Statistical finite elements for misspecified models (Q5073255) (← links)
- APIK: Active Physics-Informed Kriging Model with Partial Differential Equations (Q5075236) (← links)
- Modern Koopman Theory for Dynamical Systems (Q5075835) (← links)
- Principles of Data Assimilation (Q5086254) (← links)
- On Bayesian data assimilation for PDEs with ill-posed forward problems (Q5089412) (← links)
- Autodifferentiable Ensemble Kalman Filters (Q5089722) (← links)
- Multilevel Ensemble Kalman–Bucy Filters (Q5097838) (← links)
- Interacting Langevin Diffusions: Gradient Structure and Ensemble Kalman Sampler (Q5109769) (← links)
- Tikhonov Regularization within Ensemble Kalman Inversion (Q5110544) (← links)
- Predicting observed and hidden extreme events in complex nonlinear dynamical systems with partial observations and short training time series (Q5112959) (← links)
- Bayesian approach to inverse time-harmonic acoustic scattering with phaseless far-field data (Q5113633) (← links)
- Resource-Constrained Model Selection for Uncertainty Propagation and Data Assimilation (Q5119641) (← links)
- A Defensive Marginal Particle Filtering Method for Data Assimilation (Q5119644) (← links)
- On the continuous time limit of the ensemble Kalman filter (Q5131002) (← links)
- Forecasting Elections Using Compartmental Models of Infection (Q5140611) (← links)
- A Practical Example for the Non-linear Bayesian Filtering of Model Parameters (Q5141298) (← links)
- An Information Criterion for Choosing Observation Locations in Data Assimilation and Prediction (Q5149776) (← links)
- On the Asymptotical Regularization for Linear Inverse Problems in Presence of White Noise (Q5149777) (← links)
- Continuous Data Assimilation with a Moving Cluster of Data Points for a Reaction Diffusion Equation: A Computational Study (Q5163225) (← links)
- DAFI: An Open-Source Framework for Ensemble-Based Data Assimilation and Field Inversion (Q5163237) (← links)
- Ensemble Kalman inversion: a derivative-free technique for machine learning tasks (Q5197869) (← links)
- Ensemble Kalman methods with constraints (Q5197872) (← links)
- Bayesian Probabilistic Numerical Methods in Time-Dependent State Estimation for Industrial Hydrocyclone Equipment (Q5208054) (← links)
- Uniform in Time Error Estimates for a Finite Element Method Applied to a Downscaling Data Assimilation Algorithm for the Navier--Stokes Equations (Q5211810) (← links)
- Parameter Recovery for the 2 Dimensional Navier--Stokes Equations via Continuous Data Assimilation (Q5214834) (← links)
- On concentration properties of partially observed chaotic systems (Q5215009) (← links)
- Data assimilation: The Schrödinger perspective (Q5230525) (← links)
- Parameter and Uncertainty Estimation for Dynamical Systems Using Surrogate Stochastic Processes (Q5230651) (← links)
- Analysis of the Ensemble Kalman Filter for Inverse Problems (Q5346008) (← links)
- Chapter 1: Introduction to data assimilation and inverse problems (Q5346762) (← links)
- Second-order Accurate Ensemble Transform Particle Filters (Q5357966) (← links)
- Data assimilation for a multiscale stochastic dynamical system with Gaussian noise (Q5384784) (← links)
- A Hybrid Ensemble Transform Particle Filter for Nonlinear and Spatially Extended Dynamical Systems (Q5741193) (← links)
- Particle Filtering for Stochastic Navier--Stokes Signal Observed with Linear Additive Noise (Q5745136) (← links)
- The Ensemble Kalman Filter for Rare Event Estimation (Q5862907) (← links)
