Bayesian Nonparametric Shrinkage Applied to Cepheid Star Oscillations

Bayesian Nonparametric Variable Selection as an Exploratory Tool for Finding Genes that Matter

Bayesian Nonstationary Spatial Modeling for Very Large Datasets

Bayesian orthogonal component analysis for sparse representation

Bayesian projection approaches to variable selection and exploring model uncertainty

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

Bayesian Shrinkage Variable Selection

Bayesian Statistical Pragmatism

Bayesian Statistics Then and Now

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 treed Gaussian process models with an application to computer modeling

Bayesian Variable Selection for Probit Mixed Models Applied to Gene Selection

Benchmarking Historical Corporate Performance

Beta processes, stick-breaking, and power laws

Beta-binomial/gamma-Poisson regression models for repeated counts with random parameters

Better estimation of small Sobol' sensitivity indices

Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling

Bias correction for estimators of the extremal index

Bias correction in a multivariate normal regression model with general parameterization