Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Johnson, Alicia A.
Jones, Galin L.
and
Neath, Ronald C.
2013.
Component-Wise Markov Chain Monte Carlo: Uniform and Geometric Ergodicity under Mixing and Composition.
Statistical Science,
Vol. 28,
Issue. 3,
Johnson, Alicia A.
and
Jones, Galin L.
2015.
Geometric ergodicity of random scan Gibbs samplers for hierarchical one-way random effects models.
Journal of Multivariate Analysis,
Vol. 140,
Issue. ,
p.
325.
Vats, Dootika
Flegal, James M.
and
Jones, Galin L.
2018.
Strong consistency of multivariate spectral variance estimators in Markov chain Monte Carlo.
Bernoulli,
Vol. 24,
Issue. 3,
Lee, Kuo-Jung
and
Chen, Ray-Bing
2019.
Bayesian variable selection in a finite mixture of linear mixed-effects models.
Journal of Statistical Computation and Simulation,
Vol. 89,
Issue. 13,
p.
2434.
Vats, Dootika
Flegal, James M
and
Jones, Galin L
2019.
Multivariate output analysis for Markov chain Monte Carlo.
Biometrika,
Vol. 106,
Issue. 2,
p.
321.
Abrahamsen, Tavis
and
Hobert, James P.
2019.
Fast Monte Carlo Markov chains for Bayesian shrinkage models with random effects.
Journal of Multivariate Analysis,
Vol. 169,
Issue. ,
p.
61.
McIntosh, Cameron N.
2020.
Handbook of Sport Psychology.
p.
1020.
Backlund, Grant
Hobert, James P.
Jung, Yeun Ji
and
Khare, Kshitij
2021.
A Hybrid Scan Gibbs Sampler for Bayesian Models with Latent Variables.
Statistical Science,
Vol. 36,
Issue. 3,
Hui, Jianan
Flegal, James M.
and
Johnson, Alicia
2021.
Geometric ergodicity of a more efficient conditional Metropolis-Hastings algorithm.
Communications in Statistics - Theory and Methods,
Vol. 50,
Issue. 19,
p.
4528.
Robertson, Nathan
Flegal, James M.
Vats, Dootika
and
Jones, Galin L.
2021.
Assessing and Visualizing Simultaneous Simulation Error.
Journal of Computational and Graphical Statistics,
Vol. 30,
Issue. 2,
p.
324.
Bhattacharya, Suman
Khare, Kshitij
and
Pal, Subhadip
2022.
Geometric ergodicity of Gibbs samplers for the Horseshoe and its regularized variants.
Electronic Journal of Statistics,
Vol. 16,
Issue. 1,
Qin, Qian
and
Jones, Galin L.
2022.
Convergence rates of two-component MCMC samplers.
Bernoulli,
Vol. 28,
Issue. 2,
Khare, Kshitij
and
Ghosh, Malay
2022.
MCMC Convergence for Global-Local Shrinkage Priors.
Journal of Quantitative Economics,
Vol. 20,
Issue. S1,
p.
211.
Jia, Bowen
Wang, Ling
and
Wong, Hoi Ying
2023.
Machine learning of surrender: Optimality and humanity.
Journal of Risk and Insurance,
Thouvenin, Pierre-Antoine
Repetti, Audrey
and
Chainais, Pierre
2024.
A Distributed Block-Split Gibbs Sampler with Hypergraph Structure for High-Dimensional Inverse Problems.
Journal of Computational and Graphical Statistics,
Vol. 33,
Issue. 3,
p.
814.
Brown, Austin
and
Jones, Galin L.
2024.
Convergence rates of Metropolis–Hastings algorithms.
WIREs Computational Statistics,
Vol. 16,
Issue. 5,
Kang, Yoonseong
and
Choi, Wan
2024.
MCMC Sampling-Based Randomized Likelihood Decoding for Sparse Recovery.
IEEE Transactions on Communications,
Vol. 72,
Issue. 1,
p.
465.