An alternative pruning based approach to unbiased recursive partitioning

DOI10.1016/J.CSDA.2016.08.011zbMath1466.62018OpenAlexW2516480567MaRDI QIDQ1658507

Y. Aharonov

Publication date: 14 August 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2016.08.011

zbMATH Keywords

interactionspruningfalse discovery ratetree-based methods

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08)

Uses Software

• R
• rpart
• partykit
• evtree

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Variable selection bias in regression trees with constant fits
• Bias in information-based measures in decision tree induction
• The asymptotic theory of permutation statistics.
• Regression Trees for Censored Data
• Tree-Structured Classification Via Generalized Discriminant Analysis
• Survival Trees by Goodness of Split
• Problems in the Analysis of Survey Data, and a Proposal

This page was built for publication: An alternative pruning based approach to unbiased recursive partitioning