Variable selection for single-index varying-coefficients models with applications to synergistic G × E interactions
Author:
Affiliation:
1. Department of Statistics and Probability, Michigan State University, East Lansing, MI, 48824, USA
2. School of Statistics and Applied Mathematics, Anhui University of Finance & Economics, Bengbu, Anhui, 233000, China
Publisher
Institute of Mathematical Statistics
Subject
Statistics and Probability,Statistics, Probability and Uncertainty
Reference33 articles.
1. SCHUMAKER, L. (2007). Spline functions: basic theory. Cambridge University Press.
2. FALCONER, D. S. (1952). The Problem of Environment and Selection. Am. Natural. 86: 293–299.
3. MA, S., YANG, L., ROMERO, R., and CUI, Y. (2011). Varying coefficient model for gene-environment interaction: a non-linear look. Bioinformatics, 27: 2119–2126.
4. WU, C. and CUI, Y. (2013). A novel method for identifying nonlinear gene-environment interactions in case-control association studies. Human Genetics, 132: 1413–1425.
5. LIU, X., CUI, Y., and LI, R. (2016). Partial linear varying multi-index coefficient model for integrative gene-environment interactions. Statistica Sinica, 26: 1037–1060.
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