The following pages link to Data Assimilation (Q5898277):
Displaying 50 items.
- Sampling, feasibility, and priors in data assimilation (Q262096) (← links)
- Bayesian parameter estimation and model selection for strongly nonlinear dynamical systems (Q330721) (← links)
- Fast linearized forecasts for subsurface flow data assimilation with ensemble Kalman filter (Q341509) (← links)
- Determination of lower and upper bounds of predicted production from history-matched models (Q341527) (← links)
- Particle filters (Q373535) (← links)
- Implicit estimation of ecological model parameters (Q376407) (← links)
- Analysis of the 3DVAR filter for the partially observed Lorenz '63 model (Q379784) (← links)
- Effective actions for statistical data assimilation (Q407882) (← links)
- Reparameterization for statistical state estimation applied to differential equations (Q419630) (← links)
- Dynamical estimation of neuron and network properties. II: Path integral Monte Carlo methods (Q420956) (← links)
- A random map implementation of implicit filters (Q423027) (← links)
- A deterministic filter for non-Gaussian Bayesian estimation -- Applications to dynamical system estimation with noisy measurements (Q423042) (← links)
- Filtering with state space localized Kalman gain (Q441803) (← links)
- Characterizing curvilinear features using the localized normal-score ensemble Kalman filter (Q448823) (← links)
- On the consistency of ensemble transform filter formulations (Q482720) (← links)
- A parallel ensemble-based framework for reservoir history matching and uncertainty characterization (Q509790) (← links)
- Quantifying and reducing model-form uncertainties in Reynolds-averaged Navier-Stokes simulations: a data-driven, physics-informed Bayesian approach (Q525932) (← links)
- A dynamical systems framework for intermittent data assimilation (Q533708) (← links)
- Relation between two common localisation methods for the EnKF (Q536577) (← links)
- Combining sensitivities and prior information for covariance localization in the ensemble Kalman filter for petroleum reservoir applications (Q536581) (← links)
- Ensemble Kalman filtering with shrinkage regression techniques (Q536583) (← links)
- Bridging the ensemble Kalman filter and particle filters: The adaptive Gaussian mixture filter (Q536585) (← links)
- Multimodal ensemble Kalman filtering using Gaussian mixture models (Q536588) (← links)
- Performance of the ensemble Kalman filter outside of existing wells for a channelized reservoir (Q536591) (← links)
- Adjoint-based optimization of multi-phase flow through porous media -- a review (Q536657) (← links)
- Efficient nonlinear data-assimilation in geophysical fluid dynamics (Q536659) (← links)
- Closed-loop reservoir management on the Brugge test case (Q601243) (← links)
- Dynamical criteria for the evolution of the stochastic dimensionality in flows with uncertainty (Q655563) (← links)
- On the convergence of the ensemble Kalman filter. (Q664408) (← links)
- Comparison of deterministic and probabilistic approaches to identify the dynamic moving load and damages of a reinforced concrete beam (Q669633) (← links)
- Parallel assimilation of observed data in the hydrodynamic model of the Ocean circulation (Q682215) (← links)
- The ensemble Kalman filter is an ABC algorithm (Q693369) (← links)
- Uncertainty quantification of reservoir performance predictions using a stochastic optimization algorithm (Q695703) (← links)
- Observation targeting with a second-order adjoint method for increased predictability (Q695706) (← links)
- Ensemble Kalman filtering for non-linear likelihood models using kernel-shrinkage regression techniques (Q695710) (← links)
- Sampling error distribution for the ensemble Kalman filter update step (Q695757) (← links)
- Dynamical estimation of neuron and network properties. I: Variational methods (Q714142) (← links)
- Towards a hierarchical parametrization to address prior uncertainty in ensemble-based data assimilation (Q722777) (← links)
- Value of information in closed-loop reservoir management (Q722870) (← links)
- Facies estimation through data assimilation and structure parameterization (Q723195) (← links)
- Identification of weakly coupled multiphysics problems. application to the inverse problem of electrocardiography (Q728933) (← links)
- Quantifying uncertainty in material damage from vibrational data (Q728945) (← links)
- Multiscale parameterization of petrophysical properties for efficient history-matching (Q748109) (← links)
- A generalized polynomial chaos based ensemble Kalman filter with high accuracy (Q834092) (← links)
- Nonlinear filters for chaotic oscillatory systems (Q840529) (← links)
- Adaptive conditioning of multiple-point statistical facies simulation to flow data with probability maps (Q887564) (← links)
- Characterization of non-Gaussian geologic facies distribution using ensemble Kalman filter with probability weighted re-sampling (Q887631) (← links)
- Data assimilation: mathematical concepts and instructive examples (Q888230) (← links)
- Iterative Bayesian inversion with Gaussian mixtures: finite sample implementation and large sample asymptotics (Q894214) (← links)
- Iterative regularization for ensemble data assimilation in reservoir models (Q894224) (← links)
