Nonparametric density deconvolution by weighted kernel estimators
Factored principal components analysis, with applications to face recognition
Penalized regression with correlation-based penalty
Measuring non-linear dependence for two random variables distributed along a curve
Automatic Bayesian quantile regression curve fitting
Pairwise likelihood estimation for multivariate mixed Poisson models generated by Gamma intensities
Bayesian covariance matrix estimation using a mixture of, decomposable graphical models
A novel method for constructing ensemble classifiers
Variational Bayes for estimating the parameters of a hidden Potts model
Controlling the size of multivariate outlier tests with the MCD estimator of scatter