James P. Hobert
Official
University of Florida Statistics Department Page
Teaching
Research
Accepted papers that have yet to appear:
 Pal, Khare and
Hobert (2014). Improving the Data Augmentation algorithm in the
twoblock setup, Journal of Computational and Graphical
Statistics pdf
 Jung and Hobert (2014). Spectral properties of MCMC algorithms
for Bayesian linear regression with generalized hyperbolic
errors, Statistics & Probability
Letters pdf

Tan, Doss and Hobert
(2014). Honest importance sampling with multiple Markov
chains, Journal of Computational and Graphical
Statistics pdf
 Román
and Hobert (2014). Geometric ergodicity of Gibbs samplers for
Bayesian general linear mixed models with proper priors, Linear
Algebra and its
Applications pdf
Papers that have recently appeared:
 Román,
Hobert and
Presnell (2014). On reparametrization and the Gibbs
sampler, Statistics & Probability
Letters pdf
 Khare and Hobert
(2013). Geometric ergodicity of the Bayesian lasso, Electronic
Journal of Statistics pdf
 Choi and Hobert
(2013). The PolyaGamma Gibbs sampler for Bayesian logistic
regression is uniformly ergodic, Electronic Journal of
Statistics pdf
 Choi and Hobert
(2013). Analysis of MCMC algorithms for Bayesian linear regression
with Laplace errors, Journal of Multivariate
Analysis pdf

Tan, Jones and
Hobert (2013). On the geometric ergodicity of twovariable Gibbs
samplers, Advances in Modern Statistical Theory and
Applications: A Festschrift in Honor of Morris
L. Eaton pdf