Pages that link to "Item:Q2909273"

The following pages link to A stochastic Newton MCMC method for large-scale statistical inverse problems with application to seismic inversion (Q2909273):

Displaying 50 items.

• Scalable posterior approximations for large-scale Bayesian inverse problems via likelihood-informed parameter and state reduction (Q2375191) (← links)
• Sparse-grid, reduced-basis Bayesian inversion: nonaffine-parametric nonlinear equations (Q2375242) (← links)
• Efficient parameter estimation for a methane hydrate model with active subspaces (Q2418684) (← links)
• A Bayesian linear model for the high-dimensional inverse problem of seismic tomography (Q2443172) (← links)
• Sparse-grid, reduced-basis Bayesian inversion (Q2631530) (← links)
• A unified performance analysis of likelihood-informed subspace methods (Q2676941) (← links)
• Parameters identification for an inverse problem arising from a binary option using a Bayesian inference approach (Q2690099) (← links)
• Randomize-then-optimize for sampling and uncertainty quantification in electrical impedance tomography (Q2801319) (← links)
• Accelerating Markov chain Monte Carlo with active subspaces (Q2818262) (← links)
• Adaptive step size selection for Hessian-based manifold Langevin samplers (Q2821480) (← links)
• Accelerated dimension-independent adaptive metropolis (Q2830629) (← links)
• Geodesic Monte Carlo on embedded manifolds (Q2868870) (← links)
• Data-driven model reduction for the Bayesian solution of inverse problems (Q2952708) (← links)
• Scaling limits in computational Bayesian inversion (Q2953004) (← links)
• A stochastic procedure to solve linear ill-posed problems (Q2979623) (← links)
• A Randomized Maximum A Posteriori Method for Posterior Sampling of High Dimensional Nonlinear Bayesian Inverse Problems (Q3130408) (← links)
• Transport Map Accelerated Markov Chain Monte Carlo (Q3176240) (← links)
• Optimal Low-rank Approximations of Bayesian Linear Inverse Problems (Q3452481) (← links)
• Algorithms for Kullback--Leibler Approximation of Probability Measures in Infinite Dimensions (Q3454461) (← links)
• An approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems (Q4571036) (← links)
• A Time-Domain Preconditioned Truncated Newton Approach to Visco-acoustic Multiparameter Full Waveform Inversion (Q4580282) (← links)
• Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization (Q4580293) (← links)
• Iterative Importance Sampling Algorithms for Parameter Estimation (Q4607633) (← links)
• Parallel Local Approximation MCMC for Expensive Models (Q4636376) (← links)
• Langevin Diffusion for Population Based Sampling with an Application in Bayesian Inference for Pharmacodynamics (Q4641605) (← links)
• An Adaptive Independence Sampler MCMC Algorithm for Bayesian Inferences of Functions (Q4641609) (← links)
• Bayesian Inference Using Intermediate Distribution Based on Coarse Multiscale Model for Time Fractional Diffusion Equations (Q4643803) (← links)
• Uncertainty quantification and optimal decisions (Q4647203) (← links)
• Some Remarks on Preconditioning Molecular Dynamics (Q4967362) (← links)
• Estimating a pressure dependent thermal conductivity coefficient with applications in food technology (Q4991451) (← links)
• Application of an adaptive MCMC method for the heat flux estimation (Q4991493) (← links)
• Stein Variational Reduced Basis Bayesian Inversion (Q4997362) (← links)
• Multilevel Hierarchical Decomposition of Finite Element White Noise with Application to Multilevel Markov Chain Monte Carlo (Q4997424) (← links)
• Analysis of a multilevel Markov chain Monte Carlo finite element method for Bayesian inversion of log-normal diffusions (Q5000562) (← links)
• A Convex Optimization Framework for the Inverse Problem of Identifying a Random Parameter in a Stochastic Partial Differential Equation (Q5010085) (← links)
• Bayesian inference approach to inverse problems in a financial mathematical model (Q5031152) (← links)
• A Bayesian method for an inverse transmission scattering problem in acoustics (Q5036815) (← links)
• Prior normalization for certified likelihood-informed subspace detection of Bayesian inverse problems (Q5044972) (← links)
• Efficient derivative-free Bayesian inference for large-scale inverse problems (Q5044981) (← links)
• A Hybrid Gibbs Sampler for Edge-Preserving Tomographic Reconstruction with Uncertain View Angles (Q5052904) (← links)
• (Q5053193) (← links)
• APIK: Active Physics-Informed Kriging Model with Partial Differential Equations (Q5075236) (← links)
• An Acceleration Strategy for Randomize-Then-Optimize Sampling Via Deep Neural Networks (Q5079536) (← links)
• Objective Frequentist Uncertainty Quantification for Atmospheric \(\mathrm{CO}_2\) Retrievals (Q5097848) (← links)
• Scalable Optimization-Based Sampling on Function Space (Q5112552) (← links)
• A Random-Batch Monte Carlo Method for Many-Body Systems with Singular Kernels (Q5112563) (← links)
• Hierarchical Matrix Approximations of Hessians Arising in Inverse Problems Governed by PDEs (Q5132022) (← links)
• (Q5148969) (← links)
• Optimization-Based Markov Chain Monte Carlo Methods for Nonlinear Hierarchical Statistical Inverse Problems (Q5149778) (← links)
• Taylor Approximation for Chance Constrained Optimization Problems Governed by Partial Differential Equations with High-Dimensional Random Parameters (Q5158925) (← links)