Skip to Main Content
Hands-On Ensemble Learning with R
book

Hands-On Ensemble Learning with R

by Prabhanjan Narayanachar Tattar
July 2018
Beginner to intermediate content levelBeginner to intermediate
376 pages
9h 1m
English
Packt Publishing
Content preview from Hands-On Ensemble Learning with R

Bootstrap – a statistical method

In this section, we will explore complex statistical functional. What is the statistical distribution of the correlation between two random variables? If normality assumption does not hold for the multivariate data, then what is an alternative way to obtain the standard error and confidence interval? Efron (1979) invented the bootstrap technique, which provides the solutions that enable statistical inference related to complex statistical functionals. In Chapter 1, Introduction to Ensemble Techniques, the permutation test, which repeatedly draws samples of the given sample and carries out the test for each of the resamples, was introduced. In theory, the permutation test requires number of resamples, where m ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

Hands-On Deep Learning with R

Hands-On Deep Learning with R

Rodger Devine, Michael Pawlus
Learning Bayesian Models with R

Learning Bayesian Models with R

Hari Manassery Koduvely
Advanced Machine Learning with R

Advanced Machine Learning with R

Cory Lesmeister, Dr. Sunil Kumar Chinnamgari

Publisher Resources

ISBN: 9781788624145Supplemental Content