New latent variable model with varying-coefficients
Hao Cheng
Communications in Statistics - Theory and Methods, 2025, vol. 54, issue 9, 2723-2740
Abstract:
In this article, we develop one kind of varying-coefficients latent variable model and its corresponding estimation method based on local-polynomial theory. The model is an expansion of classical latent variable model to varying-coefficients ones, in which the relations among latent variables and observed variables are allowed to vary as smooth functions of another variable. As comparison, we use the existing quantile varying-coefficients latent variable model and its estimation method. Simulation studies and real data analysis are carried out to illustrate the performances of our proposed models and estimation methods.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2024.2372703 (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:54:y:2025:i:9:p:2723-2740
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2024.2372703
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 ().