Galin Jones

School of Statistics       Office: 347 Ford Hall
University of MinnesotaEmail: 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

Research

Neath RC and Jones GL. Variable-at-a-time Implementations of Metropolis-Hastings arXiv

Flegal JM and Jones GL. Batch Means and Spectral Variance Estimators in Markov Chain Monte Carlo arXiv Talk

Johnson AA and Jones GL. Gibbs Sampling for a Bayesian Hierarchical Version of the General Linear Mixed Model arXiv

Flegal JM, Haran M, and Jones GL. Markov chain Monte Carlo: Can we trust the third significant figure? Statistical Science. pdf, JSM Talk

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

Disclaimer : (Required by the University WWW Policy) The views and opinions expressed in this page are strictly those of the author. The contents on this page have not been approved by the University of Minnesota.