Submitted Manuscripts

Armagan, A, Dunson, D.B. and Lee, J. (2012). Generalized double Pareto shrinkage. Statistica Sinica, to appear.

Armagan, A., Dunson, D.B., Lee, J. and Bajwa, W. (2012). Posterior consistency in linear models under shrinkage priors. Biometrika, revision submitted.

Banerjee, A., Dunson, D.B and Tokdar, S. (2012). Efficient Gaussian process regression for large data sets. Biometrika, accepted.

Bhattacharya, A., Page, G. and Dunson, D.B. (2012). Density estimation and classication via Bayesian nonparametric learning of affine subspaces. Journal of the American Statistical Association, revision submitted.

Bhattacharya, A., Pati, P. and Dunson, D.B. (2012). Adaptive dimension reduction with a Gaussian process prior. Annals of Statistics, revision submitted.

Bhattacharya, A., Pati, P. and Dunson, D.B. (2012). Posterior convergence rates in non-linear latent variable models. Electronic Journal of Statistics, submitted.

Canale, A. and Dunson, D.B. (2012). Nonparametric Bayes modeling of count processes. Biometrika, revision submitted.

Chen, B., Sapiro, G., Dunson, D. and Carin, L. (2012). Deep learning with hierarchical convolutional factor analysis. Journal of Machine Learning Research, submitted.

Chen, H. Silva, J. Dunson, D. and Carin, L. (2012). Hierarchical Bayesian embeddings for analysis and synthesis of dynamic data. IEEE Signal Processing, submitted.

Ding, M., He, L., Ding, M. and Dunson, D. and Carin, L. (2012). Nonparametric Bayesian segmentation of multivariate inhomogeneous space-time Poisson processes. Bayesian Analysis, accepted.

Dong, Y, Liu, D., Dunson, D. and Carlin, L. (2012). Bayesian multi-task compressive sensing with Dirichlet process priors. IEEE Transactions for Pattern Analysis and Machine Intelligence, submitted.

Du, L., Chen, M., An, Q., Carin, L., Zaas, A. and Dunson, D.B. (2012). The hierarchical local partition process. Journal of Machine Learning Research, submitted.

Fox, E. and Dunson, D.B. (2012). Bayesian nonparametric covariance regression. submitted.

Hannah, L. and Dunson, D.B. (2012). Bayesian nonparametric multivariate convex regression, submitted.

Hannah, L. and Dunson, D.B. (2012). Multivariate convex regression with adaptive partitioning, Journal of Machine Learning Research, submitted.

Hua, Z., Dunson, D.B., Gilmore, J.H., Styner, M.A., and Zhu, H. (2012). Semiparametric Bayesian local functional models for diffusion tensor tract statistics. NeuroImage, accepted.

Hua, Z., Zhu, H. and Dunson, D.B. (2012). Semiparametric Bayes local additive models for longitudinal data. Statistics in Biosciences, revision requested.

Kessler, D., Hoff, P.D., Dunson, D.B. (2012). Marginally specified priors for nonparametric Bayes estimation. JRSS-B, submitted.

Kundu, S. and Dunson, D.B. (2012). Bayes variable selection in semiparametric linear models. Journal of the American Statistical Association, revision submitted.

Kundu, S. and Dunson, D.B. (2012). Latent factor models for density estimation. Biometrika , revision requested.

Kunihama, T. and Dunson, D.B. (2012). Bayesian modeling of temporal dependence in large sparse contingency tables. JASA , submitted.

Montagna, S., Tokdar, S., Neelon, B. and Dunson, D.B. (2012). Bayesian latent factor regression for functional and longitudinal data. Biometrics, accepted.

Murray, J., Dunson, D.B., Lucas, J. and Carin, L. (2012). Bayesian Gaussian copula factor models for mixed data. Journal of the American Statistical Association, revision requested.

Pati, D. and Dunson, D.B. (2012). Bayesian closed surface fitting through tensor products. Biometrika, revision requested.

Pati, D. and Dunson, D.B. (2012). Bayesian nonparametric regression with varying residual density. Annals of the Institute of Statistical Mathematics, revision submitted.

Pati, D., Dunson, D.B. and Tokdar, S. (2012). Posterior consistency in conditional distribution estimation. Journal of Multivariate Analysis, submitted.

Petralia, F., Rao, V. and Dunson, D.B. (2012). Repulsive mixtures. Biometrika, under revision.

Qi, Y., Liu, D., Dunson, D.B., and Carin, L. (2012). Bayesian multi-task compressive sensing with Dirichlet process priors. IEEE Transactions in Pattern Analysis and Machine Intelligence, submitted.

Reed, C., Dunson, D.B. and Yu, K. (2012). Bayesian variable selection in quantile regression. Journal of Computational & Graphical Statistics, revision requested.

Rodriguez, A. and Dunson, D.B. (2012). Functional clustering in nested designs: Modeling variability in reproductive epidemiology studies. Annals of Applied Statistics, revision requested.

Tchumtchoua, S., Dunson, D.B. and Morris, J. (2012). Online variational Bayes inference for high-dimensional correlated data. Journal of Computational & Graphical Statistics, revision requested.

Yang, Y. and Dunson, D. (2012). Bayesian conditional tensor factorizations for high-dimensional classification. JRSS-B, submitted.

Zhu, B. and Dunson, D.B. (2012). Locally adaptive Bayes nonparametric regression via nested Gaussian processes. Journal of the American Statistical Association, submitted.

Zhu, B., Ashley-Koch, A.E. and Dunson, D.B. (2012). Generalized admixture mapping for complex traits. American Journal of Human Genetics, submitted.

Zhu, B., Dunson, D.B. and Ashley-Koch, A. (2012). Adverse sub-population regression for multivariate outcomes with high-dimensional predictors. Statistics in Medicine, accepted.