Model-free feature screening for ultra-high dimensional competing risks data-Reference-Cited by-同舟云学术

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Model-free feature screening for ultra-high dimensional competing risks data

Published:2020-09 Issue: Volume:164 Page:108815
ISSN:0167-7152
Container-title:Statistics & Probability Letters
language:en
Short-container-title:Statistics & Probability Letters

Author:

Chen Xiaolin,Zhang Yahui,Liu Yi,Chen Xiaojing

Funder

National Natural Science Foundation of China

China Scholarship Council

Publisher

Elsevier BV

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference7 articles.

1. Robust feature screening for ultra-high dimensional right censored data via distance correlation;Chen;Comput. Statist. Data Anal.,2018

2. A simple model-free survival conditional feature screening;Chen;Statist. Probab. Lett.,2019

3. Quantile-adaptive model-free variable screening for high-dimensional heierogeneous data;He;Ann. Statist.,2013

4. Feature screening based on ultrahigh dimensional competing risks models;Li;Sci. Sin. Math.,2018

5. Tutorial in biostatistics: Competing risks and multi-state models;Putter;Stat. Med.,2007

Cited by 3 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. BiometricBlender: Ultra-high dimensional, multi-class synthetic data generator to imitate biometric feature space;SoftwareX;2023-05

2. Non-marginal feature screening for varying coefficient competing risks model;Statistics & Probability Letters;2022-11

3. On correlation rank screening for ultra-high dimensional competing risks data;Journal of Applied Statistics;2021-02-09

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