Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models
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[1] Jianqing Fan,et al. Statistical Estimation in Varying-Coefficient Models , 1999 .
[2] Jianqing Fan,et al. Penalized composite quasi‐likelihood for ultrahigh dimensional variable selection , 2009, Journal of the Royal Statistical Society. Series B, Statistical methodology.
[3] Cun-Hui Zhang. Nearly unbiased variable selection under minimax concave penalty , 2010, 1002.4734.
[4] H. Zou,et al. STRONG ORACLE OPTIMALITY OF FOLDED CONCAVE PENALIZED ESTIMATION. , 2012, Annals of statistics.
[5] J Schwartz,et al. Short term fluctuations in air pollution and hospital admissions of the elderly for respiratory disease. , 1995, Thorax.
[6] Jianqing Fan,et al. Simultaneous Confidence Bands and Hypothesis Testing in Varying‐coefficient Models , 2000 .
[7] Yang Feng,et al. Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Additive Models , 2009, Journal of the American Statistical Association.
[8] Jian Huang,et al. Asymptotic oracle properties of SCAD-penalized least squares estimators , 2007, 0709.0863.
[9] D. Strachan,et al. Damp housing and childhood asthma; respiratory effects of indoor air temperature and relative humidity. , 1989, Journal of epidemiology and community health.
[10] Jianqing Fan,et al. Local polynomial modelling and its applications , 1994 .
[11] Runze Li,et al. NEW EFFICIENT ESTIMATION AND VARIABLE SELECTION METHODS FOR SEMIPARAMETRIC VARYING-COEFFICIENT PARTIALLY LINEAR MODELS. , 2011, Annals of statistics.
[12] Jianqing Fan,et al. Efficient Estimation and Inferences for Varying-Coefficient Models , 2000 .
[13] J. Horowitz,et al. Asymptotic properties of bridge estimators in sparse high-dimensional regression models , 2008, 0804.0693.
[14] Hao Helen Zhang,et al. ON THE ADAPTIVE ELASTIC-NET WITH A DIVERGING NUMBER OF PARAMETERS. , 2009, Annals of statistics.
[15] Jianqing Fan,et al. Nonconcave Penalized Likelihood With NP-Dimensionality , 2009, IEEE Transactions on Information Theory.
[16] Runze Li,et al. Feature Selection for Varying Coefficient Models With Ultrahigh-Dimensional Covariates , 2014, Journal of the American Statistical Association.
[17] Svante Janson,et al. Maximal spacings in several dimensions , 1987 .
[18] Jianqing Fan,et al. A SEMIPARAMETRIC MODEL FOR CLUSTER DATA. , 2009, Annals of statistics.
[19] P. Bickel,et al. SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR , 2008, 0801.1095.
[20] Runze Li,et al. Local Rank Inference for Varying Coefficient Models , 2009, Journal of the American Statistical Association.
[21] Yingcun Xia,et al. Shrinkage Estimation of the Varying Coefficient Model , 2008 .
[22] Sara van de Geer,et al. Statistics for High-Dimensional Data: Methods, Theory and Applications , 2011 .
[23] Jianqing Fan,et al. Sure independence screening in generalized linear models with NP-dimensionality , 2009, The Annals of Statistics.
[24] D. Hunter,et al. Variable Selection using MM Algorithms. , 2005, Annals of statistics.
[25] H. Zou. The Adaptive Lasso and Its Oracle Properties , 2006 .
[26] D. Strachan,et al. Effects of air pollution on daily hospital admissions for respiratory disease in London between 1987-88 and 1991-92. , 1996, Journal of epidemiology and community health.
[27] Jianqing Fan,et al. Sure independence screening for ultrahigh dimensional feature space , 2006, math/0612857.
[28] Ming-Yen Cheng,et al. Statistical Estimation in Generalized Multiparameter Likelihood Models , 2009 .
[29] Wenyang Zhang,et al. Model selection and structure specification in ultra-high dimensional generalised semi-varying coefficient models , 2015, 1510.08683.
[30] Feng Yi,et al. On Varying-coefficient Independence Screening for High-dimensional Varying-coefficient Models. , 2014, Statistica Sinica.
[31] Wenyang Zhang,et al. Simultaneous confidence band and hypothesis test in generalised varying-coefficient models , 2010, J. Multivar. Anal..
[32] Jian Huang,et al. VARIABLE SELECTION AND ESTIMATION IN HIGH-DIMENSIONAL VARYING-COEFFICIENT MODELS. , 2011, Statistica Sinica.
[33] Jianhua Z. Huang,et al. Variable Selection in Nonparametric Varying-Coefficient Models for Analysis of Repeated Measurements , 2008, Journal of the American Statistical Association.
[34] Heng Lian. Variable selection for high-dimensional generalized varying-coefficient models , 2012 .
[35] Yang Feng,et al. Nonparametric independence screening via favored smoothing bandwidth , 2017, Journal of Statistical Planning and Inference.
[36] Yichao Wu,et al. Ultrahigh Dimensional Feature Selection: Beyond The Linear Model , 2009, J. Mach. Learn. Res..
[37] Runze Li,et al. Variable Selection in Semiparametric Regression Modeling. , 2008, Annals of statistics.
[38] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[39] Yingying Fan,et al. Tuning parameter selection in high dimensional penalized likelihood , 2013, 1605.03321.
[40] Jialiang Li,et al. A Semiparametric Threshold Model for Censored Longitudinal Data Analysis , 2011 .
[41] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[42] H. Zou,et al. One-step Sparse Estimates in Nonconcave Penalized Likelihood Models. , 2008, Annals of statistics.
[43] Jialiang Li,et al. Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data , 2013, 1308.3942.
[44] Jiahua Chen,et al. Extended Bayesian information criteria for model selection with large model spaces , 2008 .
[45] Sara van de Geer,et al. Statistics for High-Dimensional Data , 2011 .
[46] Jianqing Fan,et al. Nonparametric Independence Screening in Sparse Ultra-High-Dimensional Varying Coefficient Models , 2014, Journal of the American Statistical Association.
[47] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[48] Cun-Hui Zhang,et al. The sparsity and bias of the Lasso selection in high-dimensional linear regression , 2008, 0808.0967.