Pages that link to "Item:Q5119638"
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The following pages link to A Bayesian Approach to Estimating Background Flows from a Passive Scalar (Q5119638):
Displaying 11 items.
- Regularized ensemble Kalman methods for inverse problems (Q781982) (← links)
- Observable dictionary learning for high-dimensional statistical inference (Q1639590) (← links)
- Two-scale coupling for preconditioned Hamiltonian Monte Carlo in infinite dimensions (Q2045410) (← links)
- Mixing rates for Hamiltonian Monte Carlo algorithms in finite and infinite dimensions (Q2093317) (← links)
- Enforcing boundary conditions on physical fields in Bayesian inversion (Q2186856) (← links)
- On Bayesian consistency for flows observed through a passive scalar (Q2657923) (← links)
- Toward an enhanced Bayesian estimation framework for multiphase flow soft-sensing (Q2936507) (← links)
- Concurrent MultiParameter Learning Demonstrated on the Kuramoto--Sivashinsky Equation (Q5038404) (← links)
- Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo (Q5856684) (← links)
- On the accept-reject mechanism for Metropolis-Hastings algorithms (Q6139681) (← links)
- A statistical framework for domain shape estimation in Stokes flows (Q6171595) (← links)