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1011.0175
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A Comparison of Methods for Computing Autocorrelation Time
31 October 2010
Madeleine B. Thompson
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Papers citing
"A Comparison of Methods for Computing Autocorrelation Time"
14 / 14 papers shown
Title
Split Hamiltonian Monte Carlo revisited
F. Casas
J. Sanz-Serna
Luke Shaw
19
8
0
15 Jul 2022
ParaDRAM: A Cross-Language Toolbox for Parallel High-Performance Delayed-Rejection Adaptive Metropolis Markov Chain Monte Carlo Simulations
A. Shahmoradi
F. Bagheri
14
9
0
21 Aug 2020
Learning interaction kernels in stochastic systems of interacting particles from multiple trajectories
Fei Lu
Mauro Maggioni
Sui Tang
23
45
0
30 Jul 2020
Involutive MCMC: a Unifying Framework
Kirill Neklyudov
Max Welling
Evgenii Egorov
Dmitry Vetrov
31
36
0
30 Jun 2020
Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators
Xinming Zhang
Ramin Bashizade
Yicheng Wang
Cheng Lyu
S. Mukherjee
A. Lebeck
21
5
0
05 Mar 2020
Neural Density Estimation and Likelihood-free Inference
George Papamakarios
BDL
DRL
30
44
0
29 Oct 2019
An n-dimensional Rosenbrock Distribution for MCMC Testing
Filippo Pagani
Martin Wiegand
S. Nadarajah
19
17
0
22 Mar 2019
Fast
ε
ε
ε
-free Inference of Simulation Models with Bayesian Conditional Density Estimation
George Papamakarios
Iain Murray
TPM
35
158
0
20 May 2016
Automated Parameter Blocking for Efficient Markov-Chain Monte Carlo Sampling
Daniel Turek
P. de Valpine
C. Paciorek
Clifford Anderson-Bergman
35
26
0
19 Mar 2015
Tempering by Subsampling
Jan-Willem van de Meent
Brooks Paige
Frank Wood
TPM
62
9
0
28 Jan 2014
Fast Markov chain Monte Carlo sampling for sparse Bayesian inference in high-dimensional inverse problems using L1-type priors
F. Lucka
38
30
0
01 Jun 2012
Split HMC for Gaussian Process Models
Shiwei Lan
Babak Shahbaba
73
2
0
19 Jan 2012
Split Hamiltonian Monte Carlo
Babak Shahbaba
Shiwei Lan
W. Johnson
Radford M. Neal
57
91
0
29 Jun 2011
Graphical Comparison of MCMC Performance
Madeleine B. Thompson
70
6
0
19 Nov 2010
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