Automated multiple regression model-building techniques often hide important aspects of data from the data analyst. Such features as nonlinearity, collinearity, outliers, and points with high leverage ...

In contrast with co-ordinatewise algorithms, the performance of the deterministic Bayesian lasso improves as sparsity decreases and multicollinearity increases. Importantly, in non-sparse and high ...