James P. Hobert
Official
University of Florida Statistics Department Page
Teaching
Research
Submissions:
- Hobert,
Roy
and Robert
(2009). Improving the convergence properties of the data
augmentation algorithm with an application to Bayesian mixture
modelling pdf
-
Roy and Hobert (2009). Geometric convergence of the Haar PX-DA
algorithm for the Bayesian multivariate regression model with
Student t errors pdf
Accepted papers that have yet to appear:
- Hobert (2009). The data augmentation algorithm: Theory and
methodology pdf.
To appear in Handbook of Markov
Chain Monte Carlo
-
Tan and Hobert (2009). Block Gibbs sampling for Bayesian random
effects models with improper priors: Convergence and
regeneration, Journal of Computational and Graphical
Statistics pdf
-
Marchev and Hobert (2009). Exact sampling from the Student's t
model, Advances and Applications in
Statistics pdf
Papers that have recently appeared:
- Hobert
and
Marchev (2008). A theoretical comparison of the data
augmentation, marginal augmentation and PX-DA algorithms,
Annals of Statistics pdf
- Eaton, Hobert, Jones and Lai (2008).
Evaluation of formal posterior distributions via Markov chain
arguments, Annals of Statistics
pdf