Pages that link to "Item:Q2371192"

The following pages link to Sampling the posterior: an approach to non-Gaussian data assimilation (Q2371192):

Displaying 38 items.

• Sampling, feasibility, and priors in data assimilation (Q262096) (← links)
• Bayesian estimation and entropy for economic dynamic stochastic models: an exploration of overconsumption (Q508298) (← links)
• Sampling conditioned hypoelliptic diffusions (Q535210) (← links)
• Bridging the ensemble Kalman filter and particle filters: The adaptive Gaussian mixture filter (Q536585) (← links)
• Efficient nonlinear data-assimilation in geophysical fluid dynamics (Q536659) (← links)
• Data assimilation using a GPU accelerated path integral Monte Carlo approach (Q654145) (← links)
• Estimating parameters in stochastic systems: A variational Bayesian approach (Q654174) (← links)
• Bayesian inference with optimal maps (Q695159) (← links)
• Bayesian diffusion process models with time-varying parameters (Q744748) (← links)
• The diffusion kernel filter (Q1016080) (← links)
• Evaluation of Gaussian approximations for data assimilation in reservoir models (Q1663455) (← links)
• Optimal strategies for the control of autonomous vehicles in data assimilation (Q1691207) (← links)
• Stability of non-linear filter for deterministic dynamics (Q2072662) (← links)
• Multi-index ensemble Kalman filtering (Q2083644) (← links)
• Ensemble Kalman filter based sequential Monte Carlo sampler for sequential Bayesian inference (Q2114054) (← links)
• Resampled ensemble Kalman inversion for Bayesian parameter estimation with sequential data (Q2129152) (← links)
• Model reduction of linear dynamical systems via balancing for Bayesian inference (Q2144962) (← links)
• Recent trends on nonlinear filtering for inverse problems (Q2147770) (← links)
• Continuous-discrete smoothing of diffusions (Q2233574) (← links)
• Iterative construction of Gaussian process surrogate models for Bayesian inference (Q2301102) (← links)
• A Bayesian tutorial for data assimilation (Q2371188) (← links)
• Approximate importance sampling Monte Carlo for data assimilation (Q2371191) (← links)
• A path integral method for data assimilation (Q2472652) (← links)
• Analysis of SPDEs arising in path sampling. II: The nonlinear case (Q2475037) (← links)
• Effect of discrete time observations on synchronization in Chua model and applications to data assimilation (Q2787767) (← links)
• Accelerating Markov chain Monte Carlo with active subspaces (Q2818262) (← links)
• Bayesian data assimilation in shape registration (Q2852313) (← links)
• Variational data assimilation using targetted random walks (Q2900440) (← links)
• Analysis of the Ensemble and Polynomial Chaos Kalman Filters in Bayesian Inverse Problems (Q3452524) (← links)
• SPECTRWM: Spectral Random Walk Method for the Numerical Solution of Stochastic Partial Differential Equations (Q4641714) (← links)
• Joint estimation of Robin coefficient and domain boundary for the Poisson problem (Q5019922) (← links)
• A Defensive Marginal Particle Filtering Method for Data Assimilation (Q5119644) (← links)
• Stochastic Sensitivity: A Computable Lagrangian Uncertainty Measure for Unsteady Flows (Q5140609) (← links)
• An entropic Landweber method for linear ill-posed problems (Q5210435) (← links)
• Decreasing Flow Uncertainty in Bayesian Inverse Problems Through Lagrangian Drifter Control (Q5272911) (← links)
• Uncertainty quantification of nonlinear Lagrangian data assimilation using linear stochastic forecast models (Q6115350) (← links)
• Probing robustness of nonlinear filter stability numerically using sinkhorn divergence (Q6156246) (← links)
• A machine learning framework for geodesics under spherical Wasserstein-Fisher-Rao metric and its application for weighted sample generation (Q6184267) (← links)