The following pages link to Data Assimilation (Q5898277):
Displaying 30 items.
- Degenerate Kalman Filter Error Covariances and Their Convergence onto the Unstable Subspace (Q5269865) (← links)
- Sequential Implicit Sampling Methods for Bayesian Inverse Problems (Q5269874) (← links)
- Data Assimilation for Geophysical Fluids: The Diffusive Back and Forth Nudging (Q5272909) (← links)
- Deterministic Treatment of Model Error in Geophysical Data Assimilation (Q5272910) (← links)
- Decreasing Flow Uncertainty in Bayesian Inverse Problems Through Lagrangian Drifter Control (Q5272911) (← links)
- Sensor Scheduling for Space Object Tracking and Collision Alert (Q5326890) (← links)
- Rank Deficiency of Kalman Error Covariance Matrices in Linear Time-Varying System With Deterministic Evolution (Q5347539) (← links)
- Second-order Accurate Ensemble Transform Particle Filters (Q5357966) (← links)
- Data assimilation for a multiscale stochastic dynamical system with Gaussian noise (Q5384784) (← links)
- Ensemble filter techniques for intermittent data assimilation - a survey (Q5419930) (← 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)
- Fluid flow dynamics under location uncertainty (Q5879304) (← links)
- (Q5879926) (← links)
- Towards stochastic time-varying geological modeling (Q5962030) (← links)
- Modern statistical methods in oceanography: a hierarchical perspective (Q5965037) (← links)
- Can cancer cells inform us about the tumor microenvironment? (Q6054220) (← links)
- Data assimilation for large‐scale spatio‐temporal systems using a location particle smoother (Q6069053) (← links)
- Feature-informed data assimilation (Q6087915) (← links)
- Analysis of polymorphic data uncertainties in engineering applications (Q6088631) (← links)
- A theoretical analysis of one-dimensional discrete generation ensemble Kalman particle filters (Q6103998) (← links)
- A Sample-Wise Data Driven Control Solver for the Stochastic Optimal Control Problem with Unknown Model Parameters (Q6111300) (← links)
- Ensemble MCMC: accelerating pseudo-marginal MCMC for state space models using the ensemble Kalman filter (Q6121617) (← links)
- A robust computational framework for variational data assimilation of mean flows with sparse measurements corrupted by strong outliers (Q6553824) (← links)
- Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations (Q6557699) (← links)
- Shock trace prediction by reduced models for a viscous stochastic Burgers equation (Q6561716) (← links)
- The scope of the Kalman filter for spatio-temporal applications in environmental science (Q6626546) (← links)
- A structurally informed data assimilation approach for nonlinear partial differential equations (Q6639315) (← links)
- Sequential Kalman tuning of the \(t\)-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems (Q6654157) (← links)
