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- Mingyuan Zhou, Haojun Chen, +6 authors Lawrence Carin
- IEEE Transactions on Image Processing
- 2012

Nonparametric Bayesian methods are considered for recovery of imagery based upon compressive, incomplete, and/or noisy measurements. A truncated beta-Bernoulli process is employed to infer an… (More)

- Shihao Ji, David B. Dunson, Lawrence Carin
- IEEE Transactions on Signal Processing
- 2009

Compressive sensing (CS) is a framework whereby one performs N nonadaptive measurements to constitute a vector v isin RN used to recover an approximation u isin RM desired signal u isin RM with N <<… (More)

- Donna D. Baird, David B. Dunson, Michael C. Hill, Deborah S Cousins, Joel M. Schectman
- American journal of obstetrics and gynecology
- 2003

OBJECTIVE
Uterine leiomyoma, or fibroid tumors, are the leading indication for hysterectomy in the United States, but the proportion of women in whom fibroid tumors develop is not known. This study… (More)

- Abhishek Bhattacharya, David B. Dunson
- Biometrika
- 2011

We focus on sparse modelling of high-dimensional covariance matrices using Bayesian latent factor models. We propose a multiplicative gamma process shrinkage prior on the factor loadings which allows… (More)

- David B. Dunson, Alan E. Gelfand, BSTRACT
- 2006

In multicenter studies, subjects in different centers may have different outcome distributions. This article is motivated by the problem of nonparametric modeling of these distributions, borrowing… (More)

- Artin Armagan, David B. Dunson, Jaeyong Lee
- Statistica Sinica
- 2013

We propose a generalized double Pareto prior for Bayesian shrinkage estimation and inferences in linear models. The prior can be obtained via a scale mixture of Laplace or normal distributions,… (More)

- Zhen Chen, David B. Dunson
- Biometrics
- 2003

We address the important practical problem of how to select the random effects component in a linear mixed model. A hierarchical Bayesian model is used to identify any random effect with zero… (More)

- David B. Dunson, Chuanhua Xing
- Journal of the American Statistical Association
- 2012

Modeling of multivariate unordered categorical (nominal) data is a challenging problem, particularly in high dimensions and cases in which one wishes to avoid strong assumptions about the dependence… (More)

- Allen J Wilcox, David B. Dunson, Clarice R. Weinberg, James Trussell, Donna D. Baird
- Contraception
- 2001

Emergency post-coital contraceptives effectively reduce the risk of pregnancy, but their degree of efficacy remains uncertain. Measurement of efficacy depends on the pregnancy rate without treatment,… (More)

- Mingyuan Zhou, Lauren Hannah, David B. Dunson, Lawrence Carin
- AISTATS
- 2012

A beta-negative binomial (BNB) process is proposed, leading to a beta-gamma-Poisson process, which may be viewed as a “multiscoop” generalization of the beta-Bernoulli process. The BNB process is… (More)