Model free feature screening with dependent variable in ultrahigh dimensional binary classification-Reference-Cited by-同舟云学术

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Model free feature screening with dependent variable in ultrahigh dimensional binary classification

Published:2017-06 Issue: Volume:125 Page:141-148
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Lai Peng,Song Fengli,Chen Kaiwen,Liu Zhi

Funder

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Qing Lan Project of Jiangsu Province

Nanjing University of Information Science and Technology

Science and Technology Development Fund of Macau

NSFC

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference11 articles.

1. Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival;Chiaretti;Blood,2004

2. Model-free feature screening for ultrahigh dimensional discriminant analysis;Cui;J. Amer. Statist. Assoc.,2015

3. High dimensional classification using features annealed independence rules;Fan;Ann. Statist.,2008

4. Sure independence screening for ultrahigh dimensional feature space;Fan;J. R. Stat. Soc. Ser. B Stat. Methodol.,2008

5. Model free feature screening for ultrahigh dimensional data with responses missing at random;Lai;Comput. Statist. Data Anal.,2017

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1. Grouped feature screening for ultrahigh-dimensional classification via Gini distance correlation;Journal of Multivariate Analysis;2024-11

2. Feature space reduction method for ultrahigh-dimensional, multiclass data: random forest-based multiround screening (RFMS);Machine Learning: Science and Technology;2023-10-19

3. Feature Screening for High-Dimensional Variable Selection in Generalized Linear Models;Entropy;2023-05-26

4. Feature screening for ultrahigh-dimensional binary classification via linear projection;AIMS Mathematics;2023

5. Model-Free Feature Screening via Maximal Information Coefficient (MIC) for Ultrahigh-Dimensional Multiclass Classification;Open Journal of Statistics;2023

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