Pages that link to "Item:Q4611529"
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The following pages link to Random Forward Models and Log-Likelihoods in Bayesian Inverse Problems (Q4611529):
Displaying 15 items.
- Randomized reduced forward models for efficient Metropolis-Hastings MCMC, with application to subsurface fluid flow and capacitance tomography (Q2023287) (← links)
- A role for symmetry in the Bayesian solution of differential equations (Q2057339) (← links)
- Randomised one-step time integration methods for deterministic operator differential equations (Q2125034) (← links)
- Randomized approaches to accelerate MCMC algorithms for Bayesian inverse problems (Q2129320) (← links)
- Random time step probabilistic methods for uncertainty quantification in chaotic and geometric numerical integration (Q2195836) (← links)
- Stability of doubly-intractable distributions (Q2201541) (← links)
- A probabilistic finite element method based on random meshes: a posteriori error estimators and Bayesian inverse problems (Q2237464) (← links)
- Strong convergence rates of probabilistic integrators for ordinary differential equations (Q2302455) (← links)
- A modern retrospective on probabilistic numerics (Q2302460) (← links)
- Inverse Analysis of a New Anomalous Diffusion Model Employing Maximum Likelihood and Bayesian Estimation (Q2822762) (← links)
- Statistical Treatment of Inverse Problems Constrained by Differential Equations-Based Models with Stochastic Terms (Q4960988) (← links)
- Convergence of Gaussian Process Regression with Estimated Hyper-Parameters and Applications in Bayesian Inverse Problems (Q5139353) (← links)
- Error Bounds for Some Approximate Posterior Measures in Bayesian Inference (Q5152815) (← links)
- Error control of the numerical posterior with Bayes factors in Bayesian uncertainty quantification (Q6121680) (← links)
- Gaussian processes for Bayesian inverse problems associated with linear partial differential equations (Q6581676) (← links)
