Sequential ensemble transform for Bayesian inverse problems
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Publication:2127151
DOI10.1016/j.jcp.2020.110055OpenAlexW3112096243MaRDI QIDQ2127151
Kainan Wang, Tan Bui-Thanh, Aaron Myers, Alexandre H. Thiery
Publication date: 19 April 2022
Published in: Journal of Computational Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1909.09591
Uses Software
Cites Work
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- On the convergence of adaptive sequential Monte Carlo methods
- Nonasymptotic analysis of adaptive and annealed Feynman-Kac particle models
- An adaptive sequential Monte Carlo method for approximate Bayesian computation
- Bayesian inference with optimal maps
- Sequential Monte Carlo on large binary sampling spaces
- Existence and uniqueness of optimal transport maps
- Numerically stable online estimation of variance in particle filters
- Existence and uniqueness of monotone measure-preserving maps
- Dimension-independent likelihood-informed MCMC
- A general theory of particle filters in hidden Markov models and some applications
- Constructing optimal maps for Monge’s transport problem as a limit of strictly convex costs
- Multilevel Ensemble Transform Particle Filtering
- A Nonparametric Ensemble Transform Method for Bayesian Inference
- Analysis of the Hessian for inverse scattering problems: I. Inverse shape scattering of acoustic waves
- Inverse problems: A Bayesian perspective
- Inference for Lévy-Driven Stochastic Volatility Models via Adaptive Sequential Monte Carlo
- Sequential Monte Carlo Methods for High-Dimensional Inverse Problems: A Case Study for the Navier--Stokes Equations
- Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations
- Adaptive Multiple Importance Sampling
- Sequential Monte Carlo Samplers
- Hessian-based model reduction for large-scale systems with initial-condition inputs
- Curse-of-dimensionality revisited: Collapse of the particle filter in very large scale systems
- Polar factorization and monotone rearrangement of vector‐valued functions
- Probability with Martingales
- Differential equations methods for the Monge-Kantorovich mass transfer problem
- A sequential particle filter method for static models
- Variance estimation in the particle filter
- Efficient Sequential Monte-Carlo Samplers for Bayesian Inference
- Forest resampling for distributed sequential Monte Carlo
- Equation of State Calculations by Fast Computing Machines
- Adaptive importance sampling in monte carlo integration
- A survey of convergence results on particle filtering methods for practitioners
- A Computational Framework for Infinite-Dimensional Bayesian Inverse Problems Part I: The Linearized Case, with Application to Global Seismic Inversion
- Error Bounds and Normalising Constants for Sequential Monte Carlo Samplers in High Dimensions
- Monte Carlo sampling methods using Markov chains and their applications
- A Hybrid Ensemble Transform Particle Filter for Nonlinear and Spatially Extended Dynamical Systems
- On Stochastic Limit and Order Relationships
- On the Monge mass transfer problem
- On parallel implementation of sequential Monte Carlo methods: the island particle model
- On the role of interaction in sequential Monte Carlo algorithms
- Sequential Monte Carlo methods for Bayesian elliptic inverse problems
- MCMC methods for functions: modifying old algorithms to make them faster
