The Kendall interaction filter for variable interaction screening in high dimensional classification problems-Reference-Cited by-同舟云学术

The Kendall interaction filter for variable interaction screening in high dimensional classification problems

Published:2022-02-04 Issue: Volume: Page:1-19
ISSN:0266-4763
Container-title:Journal of Applied Statistics
language:en
Short-container-title:Journal of Applied Statistics

Author:

Anzarmou Youssef¹^ORCID,Mkhadri Abdallah¹,Oualkacha Karim²^ORCID

Affiliation:

1. Department of Mathematics, University of Cadi Ayyad, Marrakech, Morocco

2. Department of Mathematics, Université du Québec à Montréal, Montreal, Québec, Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/02664763.2022.2031125

Reference40 articles.

1. Robust Maximum Association Between Data Sets: The R Package ccaPP

2. Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays

3. P.S. Bradley and O.L. Mangasarian, Feature selection via concave minimization and support vector machines, Proceedings of the Fifteenth International Conference on Machine Learning, San Francisco, CA. Morgan Kaufmann Publishers Inc., ICML '98, 1998, pp. 82–90.

4. The origins of the Gini index: extracts from Variabilità e Mutabilità (1912) by Corrado Gini

5. Detecting gene–gene interactions that underlie human diseases

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unified model-free interaction screening via CV-entropy filter;Computational Statistics & Data Analysis;2023-04

2. An efficient model‐free approach to interaction screening for high dimensional data;Statistics in Medicine;2023-03

3. Arfis: A Model for Regression with Heavy-Tailed Distribution;2023

4. Feature screening algorithm for high dimensional data;Mathematical Modeling and Computing;2023

5. Model-Free Feature Screening Based on Gini Impurity for Ultrahigh-Dimensional Multiclass Classification;Open Journal of Statistics;2022