政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/152337

English | 正體中文 | 简体中文 | Post-Print筆數 : 27 | Items with full text/Total items : 113303/144284 (79%)
Visitors : 50800592 Online Users : 599

RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.

Home ‧ Login ‧ Upload ‧ Help ‧ About ‧ Administer

政大機構典藏 > 商學院 > 統計學系 > 期刊論文 > Item 140.119/152337

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/152337

Title:	SIMEXBoost: An R package for analysis of high-dimensional error-prone data based on boosting method
Authors:	陳立榜 Chen, Li-Pang;Qiu, Bangxu
Contributors:	統計系
Date:	2024-04
Issue Date:	2024-07-17
Abstract:	Boosting is a powerful statistical learning method. Its key feature is the ability to derive a strong learner from simple yet weak learners by iteratively updating the learning results. Moreover, boosting algorithms have been employed to do variable selection and estimation for regression models. However, measurement error usually appears in covariates. Ignoring measurement error can lead to biased estimates and wrong inferences. To the best of our knowledge, few packages have been developed to address measurement error and variable selection simultaneously by using boosting algorithms. In this paper, we introduce an R package SIMEXBoost, which covers some widely used regression models and applies the simulation and extrapolation method to deal with measurement error effects. Moreover, the package SIMEXBoost enables us to do variable selection and estimation for high-dimensional data under various regression models. To assess the performance and illustrate the features of the package, we conduct numerical studies.
Relation:	The R Journal, Vol.15, No.4, pp.5-20
Data Type:	article
DOI 連結:	https://doi.org/10.32614/RJ-2023-080
DOI:	10.32614/RJ-2023-080
Appears in Collections:	[統計學系] 期刊論文

Files in This Item:

File	Description	Size	Format
index.html		0Kb	HTML	54	View/Open

社群 sharing

著作權政策宣告 Copyright Announcement

1.本網站之數位內容為國立政治大學所收錄之機構典藏，無償提供學術研究與公眾教育等公益性使用，惟仍請適度，合理使用本網站之內容，以尊重著作權人之權益。商業上之利用，則請先取得著作權人之授權。
The digital content of this website is part of National Chengchi University Institutional Repository. It provides free access to academic research and public education for non-commercial use. Please utilize it in a proper and reasonable manner and respect the rights of copyright owners. For commercial use, please obtain authorization from the copyright owner in advance.

2.本網站之製作，已盡力防止侵害著作權人之權益，如仍發現本網站之數位內容有侵害著作權人權益情事者，請權利人通知本網站維護人員(nccur@nccu.edu.tw)，維護人員將立即採取移除該數位著作等補救措施。
NCCU Institutional Repository is made to protect the interests of copyright owners. If you believe that any material on the website infringes copyright, please contact our staff(nccur@nccu.edu.tw). We will remove the work from the repository and investigate your claim.

Loading...