Submitted Manuscripts
Bigelow, J. and Dunson, D.B. (2007). Posterior simulation across nonparametric models for functional clustering.
Bigelow, J. and Dunson, D.B. (2007). Bayesian semiparametric joint models for functional predictors. Journal of the American Statistical Association, revision requested
Cai, B. and Dunson, D.B. (2007). Variable selection in nonparametric random effects models. Biometrika, revision submitted
Chung, Y. and Dunson, D.B. (2007). The local Dirichlet process.
Dunson, D.B. and Herring, A.H. (2007). Semiparametric Bayesian latent trajectory models. Journal of the American Statistical Association, revision submitted
Dunson, D.B. and Peddada, S.D. (2007). Bayesian nonparametric inference on stochastic ordering. Biometrika, revision submitted
Dunson, D.B., Xue, Y. and Carin, L. (2007). The matrix stick breaking process: Flexible Bayes meta analysis. Journal of the American Statistical Association, revision submitted
Dunson, D.B and Yang, M. (2007). Semiparametric Bayes hierarchical models with mean and variance constraints.
Gunn, L.H. and Dunson, D.B. (2007). Bayesian methods for assessing ordering in hazard functions.
Ji, S., Dunson, D.B. and Carin, L. (2007). Multi-task compressive sensing.
MacLehose, R.F. and Dunson, D.B. (2007). Nonparametric Bayes kernel-based priors for functional data analysis.
MacLehose, R.F. and Dunson, D.B. (2007). Bayesian semi-parametric multiple shrinkage.
Ni, K., Paisley, J., Carin, L. and Dunson, D. (2007). Multi-task learning for analyzing and sorting large databases of sequential data.
Rodriguez, A., Dunson, D.B. and Gelfand, A.E. (2007). Nonparametric functional data analysis through Bayesian density estimation.
Rodriguez, A., Dunson, D.B. and Taylor, J.A. (2007). Hierarchically weighted finite mixture models for samples of distributions.
Scarpa, B. and Dunson, D.B. (2007). Bayesian hierarchical functional data analysis via contaminated informative priors.
Wang, L. and Dunson, D.B. (2007). Bayesian isotonic density regression.
Wang, L. and Dunson, D.B. (2007). Fast Bayesian inference in Dirichlet process mixture models.