Bayesian Semiparametric Density Deconvolution in the Presence of Conditionall…

We consider the problem of estimating the density of a random variable when precise measurements on the variable are not available, but replicated proxies contaminated with measurement error are av…

A Mass-Shifting Phenomenon of Truncated Multivariate Normal Priors

We show that lower-dimensional marginal densities of dependent zero-mean normal distributions truncated to the positive orthant exhibit a mass-shifting phenomenon. Despite the truncated multivariat…

Modality-Constrained Density Estimation via Deformable Templates

Estimation of a probability density function (pdf) from its samples, while satisfying certain shape constraints, is an important problem that lacks coverage in the literature. This article introduc…

Bayesian Copula Density Deconvolution for Zero-Inflated Data in Nutritional E…

Estimating the marginal and joint densities of the long-term average intakes of different dietary components is an important problem in nutritional epidemiology. Since these variables cannot be dir…

Probabilistic Community Detection With Unknown Number of Communities

Bayesian Semiparametric Multivariate Density Deconvolution

Dirichlet-Laplace Priors for Optimal Shrinkage

Bayesian Multiscale Modeling of Closed Curves in Point Clouds