| School of Statistics | Office: 347 Ford Hall | |
|---|---|---|
| University of Minnesota | Email: galin@stat.umn.edu | |
| 224 Church Street S. E. | Phone: 612.624.8862 | |
| Minneapolis, MN 55455 | Fax: 612.624.8868 | |
| Office Hours | CV | |
| By appointment |
Flegal JM and Jones GL. Output analysis for Markov chain Monte Carlo simulations. pdf
Neath RC and Jones GL. Variable-at-a-time Implementations of Metropolis-Hastings arXiv
Johnson AA and Jones GL. Gibbs Sampling for a Bayesian Hierarchical General Linear Model arXiv
Flegal JM and Jones GL. Batch Means and Spectral Variance Estimators in Markov Chain Monte Carlo. The Annals of Statistics (to appear). arXiv
Flegal JM, Haran M, and Jones GL. Markov chain Monte Carlo: Can we trust the third significant figure? Statistical Science. pdf
Jones GL and Johnson AA. Comment: Gibbs sampling, exponential families, and orthogonal polynomials. Statistical Science. arXiv
Eaton ML, Hobert
JP, Jones GL and Lai W-L. Evaluation of formal posterior distributions via
Markov chain arguments. The Annals of Statistics. arXiv extended version
Eaton ML, Hobert
JP and Jones GL. On perturbations of strongly admissible prior
distributions. Annales
de l'Institut Henri Poincaré, Probabilités et Statistiques
paper pdf talk pdf
Jones GL, Haran M, Caffo BS and Neath R. Fixed-width output
analysis for Markov chain Monte Carlo. Journal of
the American Statistical Association. arXiv, talk pdf and R program for consistent batch means can be
found here.
Hobert
JP, Jones GL and Robert CP. Using a
Markov chain to construct a tractable approximation of an intractable
probability distribution. Scandinavian
Journal of Statistics. paper pdf and talk
Caffo BS,
Jank W and Jones
GL. Ascent-Based Monte Carlo EM. Journal
of the Royal Statistical Society Series B. paper pdf and talk pdf
Jones GL. On the Markov chain central limit theorem. Probability Surveys.
arXiv
Jones GL and Hobert
JP. Sufficient burn-in for Gibbs samplers for a hierarchical
random effects model. The
Annals of Statistics. arXiv
Hobert
JP, Jones GL, Presnell
B and Rosenthal
JS. On the applicability of regenerative simulation in Markov
chain Monte Carlo. Biometrika. pdf
Jones GL and Hobert
JP. Honest exploration of intractable probability distributions
via Markov chain Monte Carlo. Statistical Science. pdf