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Variable selection in quantile structural equation model with varying coefficients

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  • Hao Cheng

Abstract

Quantile structural equation model with varying coefficients has been a very promising and popular statistical tool. In the article, variable selection investigations are carried out in quantile structural equation model with varying coefficients. Latent variables selection estimation method was proposed to screen important latent variables and their corresponding observed variables, which will relieve the extra computational burden. Simulation studies are carried out to further investigate the performances of the proposed latent variable selection estimation method. Finally, we further illustrate our proposed model and estimation method by a real data example on science and technology outputs model.

Suggested Citation

  • Hao Cheng, 2026. "Variable selection in quantile structural equation model with varying coefficients," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 55(2), pages 526-548, January.
    • Handle: RePEc:taf:lstaxx:v:55:y:2026:i:2:p:526-548
    DOI: 10.1080/03610926.2025.2499694
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