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Simulation for Data Science with R
book

Simulation for Data Science with R

by Matthias Templ
June 2016
Beginner to intermediate
398 pages
8h 51m
English
Packt Publishing
Content preview from Simulation for Data Science with R

Bootstrapping in time series

Two methods are often used in bootstrapping of time series:

  • To estimate a model and draw from the residuals (see second last section on bootstrapping regression models by bootstrapping residuals)
  • Moving blocks bootstrap methods

We concentrate in the following, on the moving blocks bootstrap. It is a method that is often applied and mentioned in literature, but with limited success. To show the limitations of this approach is one goal of this section.

The idea is to divide the data in blocks and to sample with replacement within blocks. This allows us to not completely ignore the relationship between the observations. Relationships between observations are typically present in time series. For example, the next value will ...

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Publisher Resources

ISBN: 9781785881169