"Not only defended but also applied": The perceived absurdity of Bayesian inference

"Pre-conditioning" for feature selection and regression in high-dimensional problems

$L_0$ regularized estimation for nonlinear models that have sparse underlying linear structures

$L_2$ boosting in kernel regression

$U$-tests for variance components in one-way random effects models

$\ell^1$ penalty for ill-posed inverse problems

$\sqrt{n}$-consistent parameter estimation for systems of ordinary differential equations: bypassing numerical integration via smoothing

$κ$-exponential models from the geometrical viewpoint

(U,V)-Ordering and a Duality Theorem for Risk Aversion and Lorenz-type Orderings

A Backward Particle Interpretation of Feynman-Kac Formulae

A Bayes method for a monotone hazard rate via S-paths

A Bayesian Approach to Detection of Small Low Emission Sources

A Bayesian approach to the estimation of maps between riemannian manifolds

A bayesian approach to the estimation of maps between riemannian manifolds, II: examples

A Bayesian Hierarchical Modeling Approach to Dietary Assessment via Food Frequency

A Bayesian test for excess zeros in a zero-inflated power series distribution

A Bayesian View of the Poisson-Dirichlet Process

A Bayesian χ^2 test for goodness-of-fit

A Bernstein-type inequality for stochastic processes of quadratic forms of Gaussian variables

A Bernstein-type inequality for suprema of random processes with applications to model selection in non-Gaussian regression