O'Reilly logo

Simulation for Data Science with R by Matthias Templ

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Chapter 8. Applications of Resampling Methods and Monte Carlo Tests

The general idea of resampling methods is explained in the previous chapter where also a variety of simple examples has been shown. In this chapter we look at more complex applications of the most successful resampling method - the bootstrap. The examples will show that the bootstrap can be used for different kinds of complex problems, but will also show that conceptual adaptations of the bootstrap are needed. In other words, we will see that the bootstrap has to be modified.

First, we see the bootstrap applied to regression analysis, then we see the bootstrap in the context of imputation of missing values, followed by an application in times series analysis and to applications ...

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required