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Multilevel Sequential Monte Carlo with Dimension-Independent
  Likelihood-Informed Proposals

Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals

15 March 2017
A. Beskos
Ajay Jasra
K. Law
Youssef Marzouk
Yan Zhou
ArXiv (abs)PDFHTML

Papers citing "Multilevel Sequential Monte Carlo with Dimension-Independent Likelihood-Informed Proposals"

15 / 15 papers shown
Title
Geometric MCMC for Infinite-Dimensional Inverse Problems
Geometric MCMC for Infinite-Dimensional Inverse Problems
A. Beskos
Mark Girolami
Shiwei Lan
P. Farrell
Andrew M. Stuart
56
143
0
20 Jun 2016
Forward and Inverse Uncertainty Quantification using Multilevel Monte
  Carlo Algorithms for an Elliptic Nonlocal Equation
Forward and Inverse Uncertainty Quantification using Multilevel Monte Carlo Algorithms for an Elliptic Nonlocal Equation
Ajay Jasra
K. Law
Yan Zhou
UQCV
44
12
0
21 Mar 2016
Multilevel Sequential Monte Carlo Samplers for Normalizing Constants
Multilevel Sequential Monte Carlo Samplers for Normalizing Constants
P. Del Moral
Ajay Jasra
K. Law
Yan Zhou
54
30
0
03 Mar 2016
Accelerated dimension-independent adaptive Metropolis
Accelerated dimension-independent adaptive Metropolis
Yuxin Chen
David E. Keyes
K. Law
Hatem Ltaief
42
22
0
18 Jun 2015
On a generalization of the preconditioned Crank-Nicolson Metropolis
  algorithm
On a generalization of the preconditioned Crank-Nicolson Metropolis algorithm
Daniel Rudolf
Björn Sprungk
53
68
0
14 Apr 2015
Multilevel Sequential Monte Carlo Samplers
Multilevel Sequential Monte Carlo Samplers
A. Beskos
Ajay Jasra
K. Law
Raúl Tempone
Yan Zhou
76
104
0
25 Mar 2015
Multilevel ensemble Kalman filtering
Multilevel ensemble Kalman filtering
Håkon Hoel
K. Law
Raúl Tempone
72
77
0
21 Feb 2015
Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems
Sequential Monte Carlo Methods for Bayesian Elliptic Inverse Problems
A. Beskos
Ajay Jasra
Ege A. Muzaffer
Andrew M. Stuart
68
73
0
15 Dec 2014
Dimension-independent likelihood-informed MCMC
Dimension-independent likelihood-informed MCMC
Tiangang Cui
K. Law
Youssef M. Marzouk
56
199
0
13 Nov 2014
Likelihood-informed dimension reduction for nonlinear inverse problems
Likelihood-informed dimension reduction for nonlinear inverse problems
Tiangang Cui
James Martin
Youssef M. Marzouk
A. Solonen
Alessio Spantini
72
159
0
19 Mar 2014
Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model
Optimal Shrinkage of Eigenvalues in the Spiked Covariance Model
D. Donoho
M. Gavish
Iain M. Johnstone
101
207
0
04 Nov 2013
Complexity Analysis of Accelerated MCMC Methods for Bayesian Inversion
Complexity Analysis of Accelerated MCMC Methods for Bayesian Inversion
V. H. Hoang
Christoph Schwab
Andrew M. Stuart
81
113
0
10 Jul 2012
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster
S. Cotter
Gareth O. Roberts
Andrew M. Stuart
D. White
99
480
0
03 Feb 2012
On the Stability of Sequential Monte Carlo Methods in High Dimensions
On the Stability of Sequential Monte Carlo Methods in High Dimensions
A. Beskos
Dan Crisan
Ajay Jasra
124
172
0
21 Mar 2011
Uncertainty quantification and weak approximation of an elliptic inverse
  problem
Uncertainty quantification and weak approximation of an elliptic inverse problem
Masoumeh Dashti
Andrew M. Stuart
66
102
0
01 Feb 2011
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