Research Interests
Markov chain Monte Carlo, non/semi-parametric Bayesian methods,
Bayesian methods in biostatistics.
Selected Papers Since 2000
- Li, S., Pearl, D.K., and Doss, H. (2000). Phylogenetic tree
construction using Markov chain Monte Carlo. [PostScript] [PDF] (This has
appeared in Journal of the American Statistical
Association, 95 493-508.)
- Burr, D., Doss, H., Cooke, G.E., and Goldschmidt-Clermont,
P.J. (2003). A meta-analysis of studies on the association of
the platelet PlA polymorphism of Glycoprotein IIIa and risk of
coronary heart disease.
[PostScript]
[PDF] (This has appeared in Statistics in
Medicine, 22 1741-1760.)
- Doss, H. and Huffer, F. (2003). Monte Carlo methods for
Bayesian analysis of survival data using mixtures of Dirichlet
process priors.
[PostScript]
[PDF] (This has appeared in Journal of
Computational and Graphical Statistics, 12 282-307.)
- Burr, D., Doss, H. (2005). A Bayesian semi-parametric model
for random effects meta-analysis.
[PostScript]
[PDF] (This has appeared in Journal of
the American Statistical Association, 100 242-251.)
- Doss, H. (2007). Some thoughts on future directions in
Bayesian model selection.
[PostScript]
[PDF] (This has appeared in Statistica
Sinica, 17 413-421.)
- Doss, H. (2008). Comment: Quantifying information loss in
survival studies. (This is a discussion of "Quantifying the
fraction of missing information for hypothesis testing in
statistical and genetic studies" by D. Nicolae, X.-L. Meng, and
A. Kong.) [PostScript]
[PDF]. (This has
appeared in Statistical Science, 23 313-317.)
- Doss, H., and Hobert, J. (2010). Estimation of Bayes factors
in a class of hierarchical random effects models using a
geometrically ergodic MCMC algorithm.
[PostScript]
[PDF]. (This has appeared in Journal
of Computational and Graphical Statistics, 19
295-312.)
- Doss, H. (2010). Estimation of Large Families of Bayes
Factors from Markov Chain Output.
[PostScript]
[PDF]. (This has appeared in Statistica
Sinica, 20 537-560.)
- Buta, E. and Doss, H. (2011). Computational approaches for
empirical Bayes methods and Bayesian sensitivity
analysis.
[PostScript]
[PDF]. (This has appeared in Annals of
Statistics, 39 2658-2685.)
- Doss, H. and Tan, A. (2012). Estimates and standard errors
for ratios of normalizing constants from multiple Markov chains
via regeneration.
[PostScript]
[PDF]. (Under invited revision for
Journal of the Royal Statistical Society, Series B.)
Software
- bsa Software
for dynamic visualization of changing prior and posterior in
Bayesian nonparametric analysis of censored data. This is joint
work with B. Narasimhan.
- mc-mdp-surv
Software for Monte Carlo methods for Bayesian analysis of
survival data using mixtures of Dirichlet process priors
(JCGS 2003, 282-307). This is joint work with Fred
Huffer.