Variable selection for high-dimensional generalized varying-coefficient models
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[1] Jianhua Z. Huang,et al. Polynomial Spline Estimation and Inference for Varying Coefficient Models with Longitudinal Data , 2003 .
[2] Larry A. Wasserman,et al. SpAM: Sparse Additive Models , 2007, NIPS.
[3] R. Tibshirani,et al. Varying‐Coefficient Models , 1993 .
[4] Jian Huang,et al. SCAD-penalized regression in high-dimensional partially linear models , 2009, 0903.5474.
[5] Jianhua Z. Huang,et al. Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements , 2008, Journal of the American Statistical Association.
[6] P. McCullagh,et al. Generalized Linear Models , 1972, Predictive Analytics.
[7] Jiahua Chen,et al. Extended Bayesian information criteria for model selection with large model spaces , 2008 .
[8] Lixing Zhu,et al. NONCONCAVE PENALIZED M-ESTIMATION WITH A DIVERGING NUMBER OF PARAMETERS , 2011 .
[9] A. Albert,et al. On the existence of maximum likelihood estimates in logistic regression models , 1984 .
[10] D. Billheimer. Functional Data Analysis, 2nd edition edited by J. O. Ramsay and B. W. Silverman , 2007 .
[11] B. Silverman,et al. Functional Data Analysis , 1997 .
[12] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[13] M. Schemper,et al. A solution to the problem of separation in logistic regression , 2002, Statistics in medicine.
[14] P. Bickel,et al. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR , 2008, 0801.1095.
[15] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[16] Ji Zhu,et al. Variable Selection With the Strong Heredity Constraint and Its Oracle Property , 2010 .
[17] R. Gentleman,et al. Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival. , 2004, Blood.
[18] H. Zou,et al. One-step Sparse Estimates in Nonconcave Penalized Likelihood Models. , 2008, Annals of statistics.
[19] Cun-Hui Zhang,et al. The sparsity and bias of the Lasso selection in high-dimensional linear regression , 2008, 0808.0967.
[20] Runze Li,et al. Variable Selection in Semiparametric Regression Modeling. , 2008, Annals of statistics.
[21] M. Yuan,et al. On the non‐negative garrotte estimator , 2007 .
[22] S. Geer. Applications of empirical process theory , 2000 .
[23] Hansheng Wang,et al. Computational Statistics and Data Analysis a Note on Adaptive Group Lasso , 2022 .
[24] Jian Huang,et al. VARIABLE SELECTION AND ESTIMATION IN HIGH-DIMENSIONAL VARYING-COEFFICIENT MODELS. , 2011, Statistica Sinica.
[25] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[26] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .
[27] J S Preisser,et al. Robust Regression for Clustered Data with Application to Binary Responses , 1999, Biometrics.
[28] J. Horowitz,et al. VARIABLE SELECTION IN NONPARAMETRIC ADDITIVE MODELS. , 2010, Annals of statistics.
[29] Carl de Boor,et al. A Practical Guide to Splines , 1978, Applied Mathematical Sciences.
[30] S. Geer,et al. High-dimensional additive modeling , 2008, 0806.4115.
[31] J. Horowitz,et al. Asymptotic properties of bridge estimators in sparse high-dimensional regression models , 2008, 0804.0693.
[32] Yingcun Xia,et al. Shrinkage Estimation of the Varying Coefficient Model , 2008 .
[33] Clifford Lam,et al. PROFILE-KERNEL LIKELIHOOD INFERENCE WITH DIVERGING NUMBER OF PARAMETERS. , 2008, Annals of statistics.
[34] Jianqing Fan,et al. Nonconcave penalized likelihood with a diverging number of parameters , 2004, math/0406466.
[35] John A. Nelder,et al. Generalized linear models. 2nd ed. , 1993 .
[36] Jianqing Fan,et al. Efficient Estimation and Inferences for Varying-Coefficient Models , 2000 .