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
Accepted papers that have yet to appear:
-
Roy and Hobert (2009). On Monte Carlo methods for Bayesian
multivariate regression models with heavy-tailed
errors pdf. To appear
in Journal of Multivariate Analysis
- Hobert (2009). The data augmentation algorithm: Theory and
methodology pdf.
To appear in Handbook of Markov
Chain Monte Carlo
Papers that have recently appeared:
-
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