Bootstrapping is a widely used statistical learning technique that falls under the broader category of resampling methods. Bootstrapping is typically used in the estimation of various statistics and ...

The jackknife and bootstrap methods are becoming increasingly popular in research. Although the two approaches have similar goals and use similar strategies, information is lacking with regard to the ...

In this paper, the authors refer to the axiomatic theory of risk and investigate the problem of formal verification of the expected shortfall (ES) model based on a sample ES. Recognizing the ...