Model-based boosting in R: a hands-on tutorial using the R package mboost

标题
Model-based boosting in R: a hands-on tutorial using the R package mboost
作者
关键词
Boosting, Component-wise functional gradient descent , Generalized additive models, Tutorial
出版物
COMPUTATIONAL STATISTICS
Volume 29, Issue 1-2, Pages 3-35
出版商
Springer Nature
发表日期
2012-12-21
DOI
10.1007/s00180-012-0382-5

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started