Pages that link to "Item:Q2058795"
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The following pages link to Bayesian numerical methods for nonlinear partial differential equations (Q2058795):
Displaying 16 items.
- Bayesian solution uncertainty quantification for differential equations (Q516553) (← links)
- Comment on article by Chkrebtii, Campbell, Calderhead and Girolami (Q516555) (← links)
- Inferring solutions of differential equations using noisy multi-fidelity data (Q1685467) (← links)
- Statistical analysis of differential equations: introducing probability measures on numerical solutions (Q1703820) (← links)
- Gaussian functional regression for linear partial differential equations (Q1800194) (← links)
- Randomised one-step time integration methods for deterministic operator differential equations (Q2125034) (← links)
- Approximate Bayesian model inversion for PDEs with heterogeneous and state-dependent coefficients (Q2222341) (← links)
- Probabilistic solutions to ordinary differential equations as nonlinear Bayesian filtering: a new perspective (Q2302458) (← links)
- A new network approach to Bayesian inference in partial differential equations (Q2952823) (← links)
- Bayesian approach to a nonlinear inverse problem for a time-space fractional diffusion equation (Q4555031) (← links)
- ERROR CONTROL IN THE NUMERICAL POSTERIOR DISTRIBUTION IN THE BAYESIAN UQ ANALYSIS OF A SEMILINEAR EVOLUTION PDE (Q5052446) (← links)
- On Bayesian data assimilation for PDEs with ill-posed forward problems (Q5089412) (← links)
- Bayesian Probabilistic Numerical Methods (Q5243179) (← links)
- Sparse Gaussian processes for solving nonlinear PDEs (Q6173368) (← links)
- A Bayesian approach to modeling finite element discretization error (Q6606971) (← links)
- Error analysis of kernel/GP methods for nonlinear and parametric PDEs (Q6648398) (← links)
