A reproducing kernel Hilbert space approach to high dimensional partially varying coefficient model
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DOI: 10.1016/j.csda.2020.107039
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- Jingyuan Liu & Runze Li & Rongling Wu, 2014. "Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 266-274, March.
- Jianhua Z. Huang, 2002. "Varying-coefficient models and basis function approximations for the analysis of repeated measurements," Biometrika, Biometrika Trust, vol. 89(1), pages 111-128, March.
- Jianqing Fan & Yunbei Ma & Wei Dai, 2014. "Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(507), pages 1270-1284, September.
- Yang, Lijian & Park, Byeong U. & Xue, Lan & Hardle, Wolfgang, 2006.
"Estimation and Testing for Varying Coefficients in Additive Models With Marginal Integration,"
Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1212-1227, September.
- Yang, Lijian & Härdle, Wolfgang & Park, Byeong U., 2002. "Estimation and testing for varying coefficients in additive models with marginal integration," SFB 373 Discussion Papers 2002,75, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
- Yang, Lijian & Park, Byeong U. & Xue, Lan & Härdle, Wolfgang Karl, 2005. "Estimation and testing for varying coefficients in additive models with marginal integration," SFB 649 Discussion Papers 2005-047, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
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Keywords
Varying coefficient models; Sparsity; Structure learning; High dimensions; Reproducing kernel Hilbert space (RKHS);All these keywords.
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