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Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems

Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems

Statistics and computing (Stat Comput), 2014
15 December 2014
A. Beskos
Ajay Jasra
Ege A. Muzaffer
Andrew M. Stuart
ArXiv (abs)PDFHTML

Papers citing "Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems"

20 / 20 papers shown
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
Bayesian Physics-Informed Neural Networks for Inverse Problems (BPINN-IP): Application in Infrared Image Processing
A. Mohammad-Djafari
Ning Chu
Li Wang
PINN
399
0
0
02 Dec 2025
Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings
Hidden in Plain Sight: Evaluation of the Deception Detection Capabilities of LLMs in Multimodal Settings
Md Messal Monem Miah
Adrita Anika
Xi Shi
Ruihong Huang
156
5
0
11 Jun 2025
Adaptive reduced tempering For Bayesian inverse problems and rare event
  simulation
Adaptive reduced tempering For Bayesian inverse problems and rare event simulation
Frédéric Cérou
P. Héas
Mathias Rousset
273
1
0
24 Oct 2024
Efficient Bayesian inference using physics-informed invertible neural
  networks for inverse problems
Efficient Bayesian inference using physics-informed invertible neural networks for inverse problems
Xiaofei Guan
Xintong Wang
Hao Wu
Zihao Yang
Peng Yu
PINN
387
18
0
25 Apr 2023
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
478
85
0
23 Jul 2020
A Survey of Bayesian Statistical Approaches for Big Data
A Survey of Bayesian Statistical Approaches for Big Data
Farzana Jahan
Insha Ullah
Kerrie Mengersen
374
16
0
08 Jun 2020
Generalized Parallel Tempering on Bayesian Inverse Problems
Generalized Parallel Tempering on Bayesian Inverse ProblemsStatistics and computing (Stat. Comput.), 2020
J. Latz
Juan P. Madrigal-Cianci
F. Nobile
Raúl Tempone
310
18
0
06 Mar 2020
Sequential Ensemble Transform for Bayesian Inverse Problems
Sequential Ensemble Transform for Bayesian Inverse ProblemsJournal of Computational Physics (JCP), 2019
Aaron Myers
Alexandre Hoang Thiery
Kainan Wang
T. Bui-Thanh
418
6
0
20 Sep 2019
Adaptive particle-based approximations of the Gibbs posterior for
  inverse problems
Adaptive particle-based approximations of the Gibbs posterior for inverse problems
Z. Zou
S. Mukherjee
Harbir Antil
W. Aquino
171
6
0
02 Jul 2019
Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations
  and Consistency
Hyperparameter Estimation in Bayesian MAP Estimation: Parameterizations and ConsistencySMAI Journal of Computational Mathematics (SMAI-JCM), 2019
Matthew M. Dunlop
T. Helin
Andrew M. Stuart
291
24
0
10 May 2019
Transform-based particle filtering for elliptic Bayesian inverse
  problems
Transform-based particle filtering for elliptic Bayesian inverse problems
Sangeetika Ruchi
S. Dubinkina
M. Iglesias
OT
233
9
0
15 Jan 2019
A practical example for the non-linear Bayesian filtering of model
  parameters
A practical example for the non-linear Bayesian filtering of model parameters
Matthieu Bulté
J. Latz
E. Ullmann
228
1
0
23 Jul 2018
Adaptive Dimension Reduction to Accelerate Infinite-Dimensional
  Geometric Markov Chain Monte Carlo
Adaptive Dimension Reduction to Accelerate Infinite-Dimensional Geometric Markov Chain Monte Carlo
Shiwei Lan
325
13
0
15 Jul 2018
Bayesian parameter identification in Cahn-Hilliard models for biological
  growth
Bayesian parameter identification in Cahn-Hilliard models for biological growth
Christian Kahle
K. F. Lam
J. Latz
E. Ullmann
364
22
0
08 May 2018
Fast sampling of parameterised Gaussian random fields
Fast sampling of parameterised Gaussian random fields
J. Latz
Marvin Eisenberger
E. Ullmann
232
25
0
30 Apr 2018
Multilevel Sequential${}^2$ Monte Carlo for Bayesian Inverse Problems
Multilevel Sequential2{}^22 Monte Carlo for Bayesian Inverse Problems
J. Latz
I. Papaioannou
E. Ullmann
252
44
0
27 Sep 2017
Multilevel Sequential Monte Carlo with Dimension-Independent
  Likelihood-Informed Proposals
Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals
A. Beskos
Ajay Jasra
K. Law
Youssef Marzouk
Yan Zhou
186
42
0
15 Mar 2017
Bayesian Probabilistic Numerical Methods
Bayesian Probabilistic Numerical MethodsSIAM Review (SIAM Rev.), 2017
Jon Cockayne
Chris J. Oates
T. Sullivan
Mark Girolami
394
177
0
13 Feb 2017
Iterative importance sampling algorithms for parameter estimation
Iterative importance sampling algorithms for parameter estimation
M. Morzfeld
M. Day
R. Grout
G. Pau
S. Finsterle
J. Bell
290
22
0
05 Aug 2016
Bayesian computation: a perspective on the current state, and sampling
  backwards and forwards
Bayesian computation: a perspective on the current state, and sampling backwards and forwards
P. Green
K. Latuszyñski
Marcelo Pereyra
Christian P. Robert
563
22
0
04 Feb 2015
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