The least absolute shrinkage and selection operator (Lasso) estimation of regression coefficients can be expressed as Bayesian posterior mode estimation of the regression coefficients under various ...

Two techniques have emerged from the recent literature as candidate solutions to the problem of missing data imputation. These are the expectation maximization (EM) algorithm and the auto-associative ...

Bayesian graphical models are a useful tool for understanding dependence relationships among many variables, particularly in situations with external prior information. In high-dimensional settings, ...