Pages that link to "Item:Q2936509"

The following pages link to Solving large-scale PDE-constrained Bayesian inverse problems with Riemann manifold Hamiltonian Monte Carlo (Q2936509):

Displaying 32 items.

• FEM-based discretization-invariant MCMC methods for PDE-constrained Bayesian inverse problems (Q338594) (← links)
• On an adaptive preconditioned Crank-Nicolson MCMC algorithm for infinite dimensional Bayesian inference (Q680134) (← links)
• Multilevel sequential Monte Carlo for Bayesian inverse problems (Q725440) (← links)
• Emulation of higher-order tensors in manifold Monte Carlo methods for Bayesian inverse problems (Q729447) (← links)
• Geometric MCMC for infinite-dimensional inverse problems (Q1685436) (← links)
• Local search methods for the solution of implicit inverse problems (Q1800277) (← links)
• Statistical and deterministic inverse methods in the geosciences: introduction, review, and application to the nonlinear diffusion equation (Q2062363) (← links)
• Emulation-accelerated Hamiltonian Monte Carlo algorithms for parameter estimation and uncertainty quantification in differential equation models (Q2066738) (← links)
• Variational inference for nonlinear inverse problems via neural net kernels: comparison to Bayesian neural networks, application to topology optimization (Q2083125) (← links)
• Forward and inverse modeling of fault transmissibility in subsurface flows (Q2107210) (← links)
• Bayesian inference of heterogeneous epidemic models: application to COVID-19 spread accounting for long-term care facilities (Q2237746) (← links)
• Efficient parameter estimation for a methane hydrate model with active subspaces (Q2418684) (← links)
• Accelerating Markov chain Monte Carlo with active subspaces (Q2818262) (← links)
• Accelerated dimension-independent adaptive metropolis (Q2830629) (← links)
• A Randomized Maximum A Posteriori Method for Posterior Sampling of High Dimensional Nonlinear Bayesian Inverse Problems (Q3130408) (← links)
• Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q4997424) (← links)
• Joint estimation of Robin coefficient and domain boundary for the Poisson problem (Q5019922) (← links)
• Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems (Q5044972) (← links)
• Convergence acceleration of ensemble Kalman inversion in nonlinear settings (Q5070540) (← links)
• Multilevel Quasi-Monte Carlo Uncertainty Quantification for Advection-Diffusion-Reaction (Q5117920) (← links)
• A Bayesian Approach to Estimating Background Flows from a Passive Scalar (Q5119638) (← links)
• Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs (Q5132022) (← links)
• Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q5161745) (← links)
• Maximum Conditional Entropy Hamiltonian Monte Carlo Sampler (Q5161775) (← links)
• Ensemble Transport Adaptive Importance Sampling (Q5228364) (← links)
• Transform-based particle filtering for elliptic Bayesian inverse problems (Q5236701) (← links)
• Variational Bayes' Method for Functions with Applications to Some Inverse Problems (Q5857841) (← links)
• Learning physics-based models from data: perspectives from inverse problems and model reduction (Q5887831) (← links)
• VI-DGP: a variational inference method with deep generative prior for solving high-dimensional inverse problems (Q6053024) (← links)
• Residual-based error correction for neural operator accelerated Infinite-dimensional Bayesian inverse problems (Q6147083) (← links)
• On unifying randomized methods for inverse problems (Q6162746) (← links)
• Adjoint Hamiltonian Monte Carlo algorithm for the estimation of elastic modulus through the inversion of elastic wave propagation data (Q6497705) (← links)