Hypothesis testing approaches have dominated high-dimensional inference in genomic applications. In many contexts, the precision with which individual parameters are estimated varies greatly among parameters, and testing approaches, which are most concerned with type I errors, behave poorly in ranking and selecting the most interesting (largest) individual parameters owing to an imbalance of...