Bootstrap Methods and Applications

Applications of Intentionally Biased Bootstrap Methods

A class of weighted-bootstrap techniques, called biased-bootstrap methods, is proposed. It is motivated by the need to adjust more conventional, uniform-bootstrap methods in a surgical way, so as to alter some of their features while leaving others unchanged. Depending on the nature of the adjustment, the biased bootstrap can be used to reduce bias, or reduce variance, or render some characteri...

Sequential Methods and Their Applications

Bootstrap Percolation: Visualizations and Applications

Bootstrap percolation models describe systems as diverse as magnetic materials, fluid flow in rocks and computer storage systems. The models have a common feature of requiring not just a simple connectivity of neighbouring sites, but rather an environment of other suitably occupied sites. Different applications as well as the connection with the mathematical literature on these models is presen...

Bootstrap Methods in Econometrics

Although it is common to refer to “the bootstrap,” there are actually a great many different bootstrap methods that can be used in econometrics. We emphasize the use of bootstrap methods for inference, particularly hypothesis testing, and we also discuss bootstrap confidence intervals. There are important cases in which bootstrap inference tends to be more accurate than asymptotic inference. Ho...

Genetically modified mice- Methods, applications and outlook

Background & Aim: Transgenic mice, of tengenerated by random integration of foreign genes into the mouse genome or by targeted mutation in a particular gene, have demonstrated to be a very effective tool for studying gene function in living things. In this review article, we discussed on the current methods of generating genetically-modified mice and their related problems and then investigated...