Fast stepwise regression based on multidimensional indexes
From MaRDI portal
Publication:2666779
DOI10.1016/j.ins.2020.11.031zbMath1479.62055OpenAlexW3109288977MaRDI QIDQ2666779
Barbara Żogała-Siudem, Szymon Jaroszewicz
Publication date: 23 November 2021
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2020.11.031
feature selectionopen datavariable screeningstepwise regressionforward regressionmultidimensional indexing
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Linear regression; mixed models (62J05)
Uses Software
Cites Work
- Model-Free Feature Screening for Ultrahigh-Dimensional Data
- Sure independence screening in generalized linear models with NP-dimensionality
- Dimensionality reduction by feature clustering for regression problems
- Robust rank correlation based screening
- Estimating the dimension of a model
- Fast neighbor search by using revised \(k\)-d tree
- Forward Regression for Ultra-High Dimensional Variable Screening
- Statistical challenges of high-dimensional data
- LAPACK Users' Guide
- Multidimensional binary search trees used for associative searching
- Sure Independence Screening for Ultrahigh Dimensional Feature Space
- Greedy forward regression for variable screening
- Safe Feature Elimination in Sparse Supervised Learning
- An Introduction to Statistical Learning
- A stepwise regression algorithm for high-dimensional variable selection
- VIF Regression: A Fast Regression Algorithm for Large Data
- Strong Rules for Discarding Predictors in Lasso-Type Problems
- Adaptive greedy approximations
- A new look at the statistical model identification
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
This page was built for publication: Fast stepwise regression based on multidimensional indexes