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Coupling-based convergence assessment of some Gibbs samplers for
  high-dimensional Bayesian regression with shrinkage priors
v1v2v3 (latest)

Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors

9 December 2020
N. Biswas
A. Bhattacharya
Pierre E. Jacob
J. Johndrow
ArXiv (abs)PDFHTML

Papers citing "Coupling-based convergence assessment of some Gibbs samplers for high-dimensional Bayesian regression with shrinkage priors"

7 / 7 papers shown
Title
Linear-cost unbiased posterior estimates for crossed effects and matrix
  factorization models via couplings
Linear-cost unbiased posterior estimates for crossed effects and matrix factorization models via couplings
Paolo Maria Ceriani
Giacomo Zanella
32
1
0
11 Oct 2024
Debiasing Piecewise Deterministic Markov Process samplers using
  couplings
Debiasing Piecewise Deterministic Markov Process samplers using couplings
Adrien Corenflos
Matthew Sutton
Nicolas Chopin
54
1
0
27 Jun 2023
Informative co-data learning for high-dimensional Horseshoe regression
Informative co-data learning for high-dimensional Horseshoe regression
Claudio Busatto
M. V. D. Wiel
122
2
0
10 Mar 2023
Solving the Poisson equation using coupled Markov chains
Solving the Poisson equation using coupled Markov chains
Randal Douc
Pierre E. Jacob
Anthony Lee
Dootika Vats
115
10
0
12 Jun 2022
Unbiased Multilevel Monte Carlo methods for intractable distributions:
  MLMC meets MCMC
Unbiased Multilevel Monte Carlo methods for intractable distributions: MLMC meets MCMC
Guanyang Wang
T. Wang
89
15
0
11 Apr 2022
Scalable Spike-and-Slab
Scalable Spike-and-Slab
N. Biswas
Lester W. Mackey
Xiao-Li Meng
GP
94
12
0
04 Apr 2022
Bounding Wasserstein distance with couplings
Bounding Wasserstein distance with couplings
N. Biswas
Lester W. Mackey
78
8
0
06 Dec 2021
1