EconPapers    
Economics at your fingertips  
 

Test for high dimensional partially linear models

Xiangyong Tan

Communications in Statistics - Theory and Methods, 2022, vol. 51, issue 18, 6423-6434

Abstract: In this paper, we study the hypothesis test for regression coefficients of partially linear models when the number of covariates in the linear part diverges. We propose a U-type test statistic. Asymptotic properties of the proposed test statistic are derived under null and local alternative on mild conditions. Extensive numerical examples are presented to demonstrate the advantages of the proposed test statistic for finite sample size.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2020.1861297 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:51:y:2022:i:18:p:6423-6434

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20

DOI: 10.1080/03610926.2020.1861297

Access Statistics for this article

Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe

More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:lstaxx:v:51:y:2022:i:18:p:6423-6434