Pages that link to "Item:Q5965033"
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The following pages link to MCMC methods for functions: modifying old algorithms to make them faster (Q5965033):
Displaying 30 items.
- Identify the Robin coefficient in an inhomogeneous time-fractional diffusion-wave equation (Q6175237) (← links)
- An efficient adaptive MCMC algorithm for pseudo-Bayesian quantum tomography (Q6177006) (← links)
- Chilled sampling for uncertainty quantification: a motivation from a meteorological inverse problem <sup>*</sup> (Q6177479) (← links)
- Tomographic inverse problems: mathematical challenges and novel applications. Abstracts from the workshop held April 30 -- May 5, 2023 (Q6188872) (← links)
- Multilevel dimension-independent likelihood-informed MCMC for large-scale inverse problems (Q6194963) (← links)
- Bayesian prediction of jumps in large panels of time series data (Q6202925) (← links)
- Consistent inference for diffusions from low frequency measurements (Q6550965) (← links)
- Bayesian inference with subset simulation in varying dimensions applied to the Karhunen-Loève expansion (Q6554109) (← links)
- Consistency of the Bayes method for the inverse scattering problem (Q6557657) (← links)
- Demonstration of machine-learning-enhanced Bayesian quantum state estimation (Q6559216) (← links)
- Adaptive inference over Besov spaces in the white noise model using \(p\)-exponential priors (Q6565322) (← links)
- Uncertainty quantification for goal-oriented inverse problems via variational encoder-decoder networks (Q6569714) (← links)
- Bayesian imaging inverse problem with SA-roundtrip prior via HMC-pCN sampler (Q6573297) (← links)
- Operator learning using random features: a tool for scientific computing (Q6585281) (← links)
- Conditional sampling with monotone GANs: from generative models to likelihood-free inference (Q6587628) (← links)
- Principal feature detection via \(\phi \)-Sobolev inequalities (Q6589581) (← links)
- Multi-index sequential Monte Carlo ratio estimators for Bayesian inverse problems (Q6592117) (← links)
- Probability and moment inequalities for additive functionals of geometrically ergodic Markov chains (Q6592137) (← links)
- Bayesian inversion with neural operator (BINO) for modeling subdiffusion: forward and inverse problems (Q6593344) (← links)
- Optimal experimental design: formulations and computations (Q6598420) (← links)
- Bayesian inference and optimisation of stochastic dynamical networks (Q6601014) (← links)
- hIPPYlib-MUQ: a Bayesian inference software framework for integration of data with complex predictive models under uncertainty (Q6601373) (← links)
- PyOED: an extensible suite for data assimilation and model-constrained optimal design of experiments (Q6604163) (← links)
- On posterior consistency of data assimilation with Gaussian process priors: the 2D-Navier-Stokes equations (Q6621548) (← links)
- Disintegration of Gaussian measures for sequential assimilation of linear operator data (Q6635574) (← links)
- Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting (Q6640899) (← links)
- Bayesian inversion with Student's \(t\) priors based on Gaussian scale mixtures (Q6641742) (← links)
- Adaptive multilevel subset simulation with selective refinement (Q6645124) (← links)
- Sequential Kalman tuning of the \(t\)-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems (Q6654157) (← links)
- On log-concave approximations of high-dimensional posterior measures and stability properties in non-linear inverse problems (Q6663951) (← links)
