Of course, we need more information about the regression to make any reliable conclusions. Does the model satisfy the assumptions of linear regression? Does the model fit the data (high R 2)? The the ...

We explore large-scale functional linear regression in which the scalar response is associated with a potentially ultrahigh number of functional predictors, leading to a more challenging model ...

We propose a new empirical Bayes approach for inference in the p » n normal linear model. The novelty is the use of data in the prior in two ways, for centering and regularization. Under suitable ...