James P. Hobert
Notes from the initial meeting of
Group I (Perfect Sampling Through Minorization) at Snowbird
Slides from the 3rd Annual
Distinguished Professor S. James Press Endowed Lecture at UC Riverside
on April 7, 2009
Official
University of Florida Statistics Department Page
Teaching
Research
Submissions:
-
Roy and Hobert (2009). Geometric convergence of the Haar PX-DA
algorithm for the Bayesian multivariate regression model with
Student t errors pdf
- Marchev and Hobert (2008). Exact sampling from the Student's t
model 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
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