Bayesian Predictive Densities Based on Latent Information Priors

Bayesian predictive densities for linear regression models under alpha-divergence loss: some results and open problems

Bayesian quickest detection problems for some diffusion processes

Bayesian recovery of the initial condition for the heat equation

Bayesian Regression of Piecewise Constant Functions

Bayesian semi-parametric estimation of the long-memory parameter under FEXP-priors

Bayesian shrinkage prediction for the regression problem

Bayesian test of normality versus a Dirichlet process mixture alternative

Bayesian transformation hazard models

Bayesian variable selection for high dimensional generalized linear models: convergence rates of the fitted densities

Bayesian-motivated tests of function fit and their asymptotic frequentist properties

Baysian inference via classes of normalized random measures

Benford's law from 1881 to 2006

Bernstein Polynomials and n-Copulas

Bernstein Von Mises Theorem for linear functionals of the density

Bernstein von Mises Theorems for Gaussian Regression with increasing number of regressors

Berry-Esseen bounds for general nonlinear statistics, with applications to Pearson's and non-central Student's and Hotelling's

Besov priors for Bayesian inverse problems

Best attainable rates of convergence for the estimation of the memory parameter

Best subset selection, persistence in high-dimensional statistical learning and optimization under $l_1$ constraint