Multiple hypothesis testing (or multiple testing correction) is an essential component in many modern data analysis workflows. A common objective is to maximize the number of discoveries while ...
Distinguishing between various possibilities is fundamental to the scientific method and the process of discovery and categorization. As such, mathematical methods underlying distinguishability have ...