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 ...
In the ever-evolving toolkit of statistical analysis techniques, Bayesian statistics has emerged as a popular and powerful methodology for making decisions from data in the applied sciences. Bayesian ...
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 ...
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