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Geometric Ergodicity in Modified Variations of Riemannian Manifold and
  Lagrangian Monte Carlo

Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo

4 January 2023
James A. Brofos
Vivekananda Roy
Roy R. Lederman
ArXiv (abs)PDFHTML

Papers citing "Geometric Ergodicity in Modified Variations of Riemannian Manifold and Lagrangian Monte Carlo"

9 / 9 papers shown
Title
Convergence of position-dependent MALA with application to conditional
  simulation in GLMMs
Convergence of position-dependent MALA with application to conditional simulation in GLMMs
Vivekananda Roy
Lijin Zhang
56
8
0
28 Aug 2021
Involutive MCMC: a Unifying Framework
Involutive MCMC: a Unifying Framework
Kirill Neklyudov
Max Welling
Evgenii Egorov
Dmitry Vetrov
75
38
0
30 Jun 2020
Implicit Hamiltonian Monte Carlo for Sampling Multiscale Distributions
Implicit Hamiltonian Monte Carlo for Sampling Multiscale Distributions
A. Pourzanjani
Linda R. Petzold
40
8
0
02 Nov 2019
Convergence diagnostics for Markov chain Monte Carlo
Convergence diagnostics for Markov chain Monte Carlo
Vivekananda Roy
68
220
0
26 Sep 2019
Rank-normalization, folding, and localization: An improved $\widehat{R}$
  for assessing convergence of MCMC
Rank-normalization, folding, and localization: An improved R^\widehat{R}R for assessing convergence of MCMC
Aki Vehtari
Andrew Gelman
Daniel P. Simpson
Bob Carpenter
Paul-Christian Bürkner
57
940
0
19 Mar 2019
On the Geometric Ergodicity of Hamiltonian Monte Carlo
On the Geometric Ergodicity of Hamiltonian Monte Carlo
Samuel Livingstone
M. Betancourt
Simon Byrne
Mark Girolami
104
116
0
29 Jan 2016
Langevin diffusions and the Metropolis-adjusted Langevin algorithm
Langevin diffusions and the Metropolis-adjusted Langevin algorithm
Tatiana Xifara
Chris Sherlock
Samuel Livingstone
Simon Byrne
Mark Girolami
82
126
0
11 Sep 2013
Lagrangian Dynamical Monte Carlo
Lagrangian Dynamical Monte Carlo
Shiwei Lan
V. Stathopoulos
Babak Shahbaba
Mark Girolami
97
45
0
15 Nov 2012
Variance bounding and geometric ergodicity of Markov chain Monte Carlo
  kernels for approximate Bayesian computation
Variance bounding and geometric ergodicity of Markov chain Monte Carlo kernels for approximate Bayesian computation
Anthony Lee
Krzysztof Latuszynski
114
55
0
24 Oct 2012
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