Bayesian projection approaches to variable selection and exploring model uncertainty

Bayesian Quantile Regression for Single-Index Models

Bayesian Segmentation of Oceanic SAR Images: Application to Oil Spill Detection

Bayesian semiparametric inference for multivariate doubly-interval-censored data

Bayesian separation of spectral sources under non-negativity and full additivity constraints

Bayesian sequential estimation of the reliability of a parallel-series system

Bayesian Shrinkage Variable Selection

Bayesian Sparsity-Path-Analysis of Genetic Association Signal using Generalized t Priors

Bayesian statistical analysis of asteroid rotation rates

Bayesian Statistical Pragmatism

Bayesian Statistics Then and Now

Bayesian Symbol Detection in Wireless Relay Networks via Likelihood-Free Inference

Bayesian Synthesis: Combining subjective analyses, with an application to ozone data

Bayesian testing of many hypotheses $\times$ many genes: A study of sleep apnea

Bayesian Thought in Early Modern Detective Stories: Monsieur Lecoq, C. Auguste Dupin and Sherlock Holmes

Bayesian Tracking of Emerging Epidemics Using Ensemble Optimal Statistical Interpolation (EnOSI)

Bayesian treed Gaussian process models with an application to computer modeling

Bayesian Variable Selection for Probit Mixed Models Applied to Gene Selection

Bayesian variable selection regression for genome-wide association studies and other large-scale problems

Bayesian variable selection using cost-adjusted BIC, with application to cost-effective measurement of quality of health care