Year |
Citation |
Score |
2020 |
Ekvall KO, Jones GL. Consistent maximum likelihood estimation using subsets with applications to multivariate mixed models Annals of Statistics. 48: 932-952. DOI: 10.1214/19-Aos1830 |
0.352 |
|
2020 |
Robertson N, Flegal JM, Vats D, Jones GL. Assessing and Visualizing Simultaneous Simulation Error Journal of Computational and Graphical Statistics. DOI: 10.1080/10618600.2020.1824871 |
0.307 |
|
2020 |
Dai N, Jones GL, Fiecas M. Bayesian longitudinal spectral estimation with application to resting-state fMRI data analysis Econometrics and Statistics. 15: 104-116. DOI: 10.1016/J.Ecosta.2019.01.002 |
0.361 |
|
2018 |
Vats D, Flegal JM, Jones GL. Strong Consistency of Multivariate Spectral Variance Estimators in Markov Chain Monte Carlo Bernoulli. 24: 1860-1909. DOI: 10.3150/16-Bej914 |
0.326 |
|
2018 |
Bezener M, Hughes J, Jones G. Bayesian Spatiotemporal Modeling Using Hierarchical Spatial Priors, with Applications to Functional Magnetic Resonance Imaging (with Discussion) Bayesian Analysis. 13: 1261-1313. DOI: 10.1214/18-Ba1108 |
0.449 |
|
2017 |
Dai N, Jones GL. Multivariate initial sequence estimators in Markov chain Monte Carlo Journal of Multivariate Analysis. 159: 184-199. DOI: 10.1016/J.Jmva.2017.05.009 |
0.331 |
|
2015 |
Doss CR, Flegal JM, Jones GL, Neath RC. Markov chain monte carlo estimation of quantiles Electronic Journal of Statistics. 8: 2448-2478. DOI: 10.1214/14-Ejs957 |
0.344 |
|
2015 |
Johnson AA, Jones GL. Geometric ergodicity of random scan Gibbs samplers for hierarchical one-way random effects models Journal of Multivariate Analysis. 140: 325-342. DOI: 10.1016/J.Jmva.2015.06.002 |
0.582 |
|
2014 |
Lee KJ, Jones GL, Caffo BS, Bassett SS. Spatial Bayesian Variable Selection Models on Functional Magnetic Resonance Imaging Time-Series Data. Bayesian Analysis (Online). 9: 699-732. PMID 25530824 DOI: 10.1214/14-Ba873 |
0.582 |
|
2014 |
Shea BP, Jones GL. Evaluating default priors with a generalization of Eaton's Markov chain Annales De L'Institut Henri Poincare (B) Probability and Statistics. 50: 1069-1091. DOI: 10.1214/13-Aihp552 |
0.31 |
|
2013 |
Johnson AA, Jones GL, Neath RC. Component-wise markov chain monte carlo: Uniform and geometric ergodicity under mixing and composition Statistical Science. 28: 360-375. DOI: 10.1214/13-Sts423 |
0.576 |
|
2010 |
Johnson AA, Jones GL. Gibbs sampling for a Bayesian hierarchical general linear model Electronic Journal of Statistics. 4: 313-333. DOI: 10.1214/09-Ejs515 |
0.585 |
|
2010 |
Flegal JM, Jones GL. Batch means and spectral variance estimators in Markov chain Monte Carlo Annals of Statistics. 38: 1034-1070. DOI: 10.1214/09-Aos735 |
0.339 |
|
2008 |
Flegal JM, Haran M, Jones GL. Markov chain Monte Carlo: Can we trust the third significant figure? Statistical Science. 23: 250-260. DOI: 10.1214/08-Sts257 |
0.315 |
|
2008 |
Jones GL, Johnson AA. Comment: Gibbs sampling, exponential families, and orthogonal polynomials Statistical Science. 23: 183-186. DOI: 10.1214/08-Sts252C |
0.53 |
|
2008 |
Eaton ML, Hobert JP, Jones GL, Lai WL. Evaluation of formal posterior distributions via Markov chain arguments Annals of Statistics. 36: 2423-2452. DOI: 10.1214/07-Aos542 |
0.342 |
|
2006 |
Jones GL, Haran M, Caffo BS, Neath R. Fixed-width output analysis for Markov chain Monte Carlo Journal of the American Statistical Association. 101: 1537-1547. DOI: 10.1198/016214506000000492 |
0.339 |
|
2006 |
Hobert JP, Jones GL, Robert CP. Using a Markov chain to construct a tractable approximation of an intractable probability distribution Scandinavian Journal of Statistics. 33: 37-51. DOI: 10.1111/J.1467-9469.2006.00467.X |
0.354 |
|
2005 |
Caffo BS, Jank W, Jones GL. Ascent-based Monte Carlo expectation-maximization Journal of the Royal Statistical Society. Series B: Statistical Methodology. 67: 235-251. DOI: 10.1111/J.1467-9868.2005.00499.X |
0.302 |
|
2004 |
Jones GL. On the markov chain central limit theorem Probability Surveys. 1: 299-320. DOI: 10.1214/154957804100000051 |
0.327 |
|
2004 |
Jones GL, Hubert JP. Sufficient burn-in for Gibbs samplers for a hierarchical random effects model Annals of Statistics. 32: 784-817. DOI: 10.1214/009053604000000184 |
0.35 |
|
2002 |
Hobert JP, Jones GL, Presnell B, Rosenthal JS. On the applicability of regenerative simulation in Markov chain Monte Carlo Biometrika. 89: 731-743. DOI: 10.1093/Biomet/89.4.731 |
0.345 |
|
2001 |
Jones GL, Hobert JP. Honest Exploration of Intractable Probability Distributions via Markov Chain Monte Carlo Statistical Science. 16: 312-334. DOI: 10.1214/Ss/1015346317 |
0.316 |
|
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