Abstract: In this paper we address the problem of performing statistical inference for large scale data sets i.e., Big Data. The volume and dimensionality of the data may be so high that it cannot be ...

The OOB error is frequently cited as an unbiased approximation of the genuine error rate. Let’s start by talking about OOB errors. Multiple trees are built on the ...

The bias-corrected bootstrap confidence interval (BCBCI) was once the method of choice for conducting inference on the indirect effect in mediation analysis due to its high power in small samples, but ...

Bootstrap 5.2 needs a tweak to work with a strict CSP, as it includes inline SVGs in its CSS. This sample configuration repo uses Webpack asset modules to extract these SVGs to their own files. These ...

ABSTRACT: Generalized Linear Mixed Model (GLMM) has been widely used in small area estimation for health indicators. Bayesian estimation is usually used to construct statistical intervals, however, ...