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…

Adaptive Bayesian Nonstationary Modeling for Large Spatial Datasets Using Cov…

Gaussian process models have been widely used in spatial statistics but face tremendous modeling and computational challenges for very large nonstationary spatial datasets. To address these challen…

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…

A Powerful Bayesian Test for Equality of Means in High Dimensions

Bayesian Semiparametric Multivariate Density Deconvolution

A multistage, semi-automated procedure for analyzing the morphology of nanopa…

Emulation of Numerical Models With Over-Specified Basis functions

Spline-based emulators for radoative shock experiments with measurement error

Sea surface temperature modeling using radial basis function networks with a …