Publications of David B Dunson    :chronological  combined  bibtex listing:

Papers Published

1. S. Ji, D.B. Dunson, and L. Carin. "Multi-task compressive sensing." IEEE Signal Processing 57 (2009): 92-106.
2. D.B. Dunson. "Nonparametric Bayes local partition models for random effects." Biometrika 96 (2009): 249-262.
3. J.L. Bigelow and D.B. Dunson. "Bayesian semiparametric joint models for functional predictors." Journal of the American Statistical Association 104 (2009): 26-36.
4. B. Scarpa and D.B. Dunson. "Bayesian hierarchical functional data analysis with contaminated informative priors." Biometrics 65 (2009): 772-780.
5. J. Ghosh and D.B. Dunson. "Default prior distributions and efficient posterior computation in Bayesian factor analysis." Journal of Computational & Graphical Statistics 18 (2009): 306-320.
6. A. Rodriguez, D.B. Dunson and J. Taylor. "Bayesian hierarchically weighted finite mixture models for samples of distributions." Biostatistics 10 (2009): 155-171.
7. D.B. Dunson and Chuanhua Xing. "Nonparametric Bayes modeling of multivariate categorical data." Journal of the American Statistical Association 104 (2009): 1042-1051.
8. D.B. Dunson and J-H. Park. "Kernel stick-breaking processes." Biometrika 95 (2008): 307-323.
9. M.L. Pennell and D.B. Dunson. "Nonparametric Bayes testing of changes in a response distribution with an ordinal predictor." Biometrics 64 (2008): 413-423.
10. D.B. Dunson, A.H. Herring and S.M. Engel. "Bayesian selection and clustering of polymorphisms in functionally-related genes." Journal of the American Statistical Association 103 (2008): 534-546.
11. D.B. Dunson, A.H. Herring and A.M. Siega-Riz. "Bayesian inference on changes in response densities over predictor clusters." Journal of the American Statistical Association 103 (2008): 1508-1517.
12. D.B. Dunson and S.D. Peddada. "Bayesian nonparametric inference on stochastic ordering." Biometrika 95 (2008): 859-874.
13. A. Rodriguez, D.B. Dunson and A.E. Gelfand. "The nested Dirichlet process (with discussion)." Journal of the American Statistical Association (2008).
14. Ni, K., Paisley, J., Carin, L. and D.B. Dunson. "Multi-task learning for analyzing and sorting large databases of sequential data." IEEE Trans. Signal Processing 56 (2008): 3918-3931.
15. A. Rodriguez, D.B. Dunson and A.E. Gelfand. "Nonparametric functional data analysis through Bayesian density estimation." Biometrika 96 (2008): 149-162.
16. D.B. Dunson. "Bayesian dynamic modeling of latent trait distributions." Biostatistics 7 (2007): 551-568.
17. J. Bigelow and D.B. Dunson. "Bayesian adaptive regression splines for hierarchical data." Biometrics 63 (2007): 724-732.
18. D.B. Dunson. "Empirical Bayes density regression." Statistica Sinica 17 (2007): 481-504.
19. D.B. Dunson, N. Pillai, and J-H. Park. "Bayesian density regression." Journal of the Royal Statistical Society, Series B 69 (2007): 163-183.
20. S. Kinney and D.B. Dunson. "Fixed and random effects selection in linear and logistic models." Biometrics 63 (2007): 690-698.
21. D.B. Dunson, Y. Xue and L. Carin. "The matrix stick-breaking process: Flexible Bayes meta analysis." Journal of the American Statistical Association 103 (2007): 317-327.
22. M.L. Pennell and D.B. Dunson. "Fitting semiparametric random effects models to large data sets." Biostatistics 8 (2007): 821-834.
23. D.B. Dunson. "Bayesian multivariate isotonic regression splines: Applications to carcinogenicity studies." Journal of the American Statistical Association 102 (2007): 1158-1171.
24. B. Scarpa, D.B. Dunson and E. Giacchi. "Bayesian selection of optimal rules for timing intercourse using calendar and mucus." Fertility and Sterility 88 (2007): 915-924.
25. Pennell and Dunson. "Bayesian semiparametric dynamic frailty models for multiple event time data." Biometrics 62 (2006): 1044-1052. [html]
26. Cai and Dunson. "Bayesian covariance selection in generalized linear mixed models." Biometrics 62 (2006): 446-457. [html]
27. D.B. Dunson. "Bayesian semiparametric isotonic regression for count data." Journal of the American Statistical Association 100 (2005): 618-627.
28. Dunson, Bigelow & Colombo. "Reduced fertilization rates for older men when cervical mucus is sub-optimal." Obstetrics and Gynecology 105 (2005): 788-793.

Papers Accepted

1. B. Cai, D.B. Dunson and J. Stanford. "Dynamic models for multivariate markers of fecundability." Biometrics  (2009).
2. L. Du, L. Ren, D.B. Dunson and L. Carin. "A Bayesian model for simultaneous image clustering, annotation and object segmentation." Neural Information Processing Systems  (2009).
3. R.F. MacLehose and D.B. Dunson. "Nonparametric Bayes kernel-based priors for functional data analysis." Statistica Sinica  (2009).
4. Y. Chung and D.B. Dunson. "The local Dirichlet process." Annals of the Institute of Statistical Mathematics  (2009).
5. D.B. Dunson. "Multivariate kernel partition process mixtures." Statistica Sinica  (2009).
6. Y. Chung and D.B. Dunson. "Nonparametric Bayes conditional distribution modeling with variable selection." Journal of the American Statistical Association  (2009).
7. J. Park and D.B. Dunson. "Bayesian generalized product partition model." Statistica Sinica  (2009).
8. L.Ren, D.B. Dunson, S. Lindroth and L. Carin. "Dynamic nonparametric Bayesian models for analysis of music." Journal of the American Statistical Association  (2009).
9. R.F. MacLehose and D.B. Dunson. "Bayesian semi-parametric multiple shrinkage." Biometrics  (2009).
10. L. Wang and D.B. Dunson. "Fast Bayesian inference in Dirichlet process mixture models." Journal of Computational & Graphical Statistics  (2009).
11. L. Wang and D.B. Dunson. "Semiparametric Bayes multiple testing: Applications to tumor data.." Biometrics  (2009).

Papers Submitted

1. B. Reich, M. Fuentes and D.B. Dunson. "Bayesian spatial quantile regression." Journal of the American Statistical Association  (2009).
2. A. Rodriguez, D.B. Dunson and A.E. Gelfand. "Latent stick-breaking processes." Journal of the American Statistical Association  (2009).
3. A. Bhattacharya and D.B. Dunson. "Nonparametric Bayesian density estimation on manifolds with applications to planar shapes." Biometrika  (2009).
4. Liu, F., D.B. Dunson and Zou, F.. "High-dimensional variable selection in meta analysis for censored data." Biometrics  (2009).
5. J. Crandell and D.B. Dunson. "Posterior simulation across nonparametric models for functional clustering." Sankhya  (2009).
6. B. Bornkamp, K. Ickstadt, and D.B. Dunson. "Stochastically ordered multiple regression." Biostatistics  (2009).
7. A. Armagan and D.B. Dunson. "Sparse variational analysis of large longitudinal data sets." Statistics & Probability Letters  (2009).
8. M. Shi and D.B. Dunson. "Bayesian variable selection via particle stochastic search." Statistics & Probability Letters  (2009).
9. M. Yang and D.B. Dunson. "Bayesian semiparametric structural equation models with latent variables." Psychometrika  (2008).
10. R. Mitra and D.B. Dunson. "Two level stochastic search variable selection in GLMs with missing predictors."   (2008).
11. B. Cai and D.B. Dunson. "Variable selection in nonparametric random effects models." submitted  (2007).
12. L.Wang and D.B. Dunson. "Bayesian isotonic density regression."   (2007).