Suppose 𝓕 is a class of bounded or unbounded functions. We construct a Bayesian bootstrapped U-process over 𝓕 and study the limiting behavior of the process. We obtain conditional central limit ...

The tested hypothesis is often – but not necessarily – the idea of ‘no effect,’ i.e., that the data reflect only noise and no signal. This version of significance testing is called Null Hypothesis ...

What the use of P implies, therefore, is that a hypothesis that may be true may be rejected because it has not predicted observable results that have not occurred. ~ Harold Jeffreys Exactly! ~ J. K.