Nonparametric empirical Bayes for the Dirichlet process mixture model
Simultaneous confidence intervals by iteratively adjusted alpha for relative effects in the one-way layout
Exact simulation of Gaussian Time Series from Nonparametric Spectral Estimates with Application to Bootstrapping
Wavelet kernel penalized estimation for non-equispaced design regression
Multivariate mixtures of normals with unknown number of components
Fitting via alternative random-effect models
Tractable Bayesian learning of tree belief networks
On directional Metropolis–Hastings algorithms