References
- Li Q, Huang CJ, Li D, et al. Semiparametric smooth coefficient models. J Bus Econ Stat. 2002;20:412–422. doi: 10.1198/073500102288618531
- Zhang W, Lee SY, Song X. Local polynomial fitting in semivarying coefficient models. J Multivar Anal. 2002;82:166–188. doi: 10.1006/jmva.2001.2012
- Ahmad I, Leelahanon S, Li Q. Efficient estimation of a semiparametric partially linear varying coefficient model. Ann Stat. 2005;33:258–283. doi: 10.1214/009053604000000931
- Fan JQ, Huang T. Profile likelihood inference on semiparametric varying-coefficient partially linear models. Bernoulli. 2005;11:1031–1057. doi: 10.3150/bj/1137421639
- Zhao PX, Xue LG. Variable selection for semiparametric varying coefficient partially linear errors-in-variables models. J Multivar Anal. 2010;101:1872–1883. doi: 10.1016/j.jmva.2010.03.005
- Zhang WW, Li GR, Xue LG. Profile inference on partially linear varying-coefficient errors-in-variables models under restricted condition. Comput Stat Data Anal. 2011;55:3027–3040. doi: 10.1016/j.csda.2011.05.012
- Zhao PX. Adjusted empirical likelihood for varying coefficient partially linear models with censored data. J Math. 2013;2013:1–7. doi: 10.1155/2013/204363Article ID 204363.
- Bravo F. Varying coefficients partially linear models with randomly censored data. Ann Inst Stat Math. 2014;66:383–412. doi: 10.1007/s10463-013-0420-2
- Chen XR, Liu YQ, Sun JG, et al. Semiparametric quantile regression analysis of right-censored and length-biased failure time data with partially linear varying effects. Scand J Stat. 2016;43:921–938. doi: 10.1111/sjos.v43.4
- Zhu LX, Xue LG. Empirical likelihood confidence regions in a partially linear single-index model. J R Stat Soc B Stat Methodol. 2006;68:549–570. doi: 10.1111/j.1467-9868.2006.00556.x
- Bravo F, Escanciano J, Van Keilegom I. Two-step semiparametric empirical likelihood inference. Ann Stat. 2020;48:1–26. doi: 10.1214/18-AOS1788
- He SY, Liang W, Shen JS, et al. Empirical likelihood for right censored lifetime data. J Amer Statist Assoc. 2016;111:646–655. doi: 10.1080/01621459.2015.1024058
- Tang CY, Qin YS. An efficient empirical likelihood approach for estimating equations with missing data. Biometrika. 2012;99:1001–1007. doi: 10.1093/biomet/ass045
- Xue LG. Empirical likelihood confidence intervals for response mean with data missing at random. Scand J Stat. 2009;36:671–685. doi: 10.1111/sjos.2009.36.issue-4
- Xue LG, Xue D. Empirical likelihood for semiparametric regression model with missing response data. J Multivar Anal. 2011;102:723–740. doi: 10.1016/j.jmva.2010.11.001
- Xue LG, Zhu LX. Empirical likelihood for a varying coefficient model with longitudinal data. J Amer Statist Assoc. 2007a;102:642–654. doi: 10.1198/016214507000000293
- Xue LG, Zhu LX. Empirical likelihood semiparametric regression analysis for longitudinal data. Biometrika. 2007b;94:921–937. doi: 10.1093/biomet/asm066
- Xue LG, Zhang JH. Empirical likelihood for partially linear single-index models with missing observations. Comput Stat Data Anal. 2020;144:106877. doi: 10.1016/j.csda.2019.106877
- Hjort NL, Mckeague IW, Van Keilegom I. Extending the scope of empirical likelihood. Ann Stat. 2009;37:1079–1111.
- Cox D. Regression models and life-tables. J R Stat Soc B Stat Methodol. 1972;34:187–220.
- Breslow N. Discussion of a paper by D. R. Cox. J R Stat Soc B Stat Methodol. 1972;34:261–277.
- Du Y, Akritas MG. Uniform strong representation of the conditional Kaplan-Meier process. Math Methods Stat. 2002;11:152–182.
- Qin J, Lawless J. Empirical likelihood and general estimating equations (in likelihood and related topics). Ann Stat. 1994;22:300–325. doi: 10.1214/aos/1176325370
- Bickel PJ, Kwon J. Inference for semiparametric models: some current frontiers (with discussion). Stat Sin. 2001;11:863–960.
- Arnold SF. The theory of linear models and multivariate analysis. New York: John Wiley & Sons; 1981.
- Müller HG. Weighted local regression and kernel methods for nonparametric curve fitting. J Amer Statist Assoc. 1987;82:231–238.
- Fan JQ. Local linear regression smoothers and their minimax efficiency. Ann Stat. 1993;21:196–216.
- Cai ZW, Fan JQ, Yao QW. Functional-coefficient regression models for nonlinear time series. J Amer Statist Assoc. 2000;95:941–956. doi: 10.1080/01621459.2000.10474284
- Fan JQ, Yao QW, Cai ZW. Adaptive varying-coefficient linear models. J R Stat Soc B. 2003;65:57–80. doi: 10.1111/1467-9868.00372
- Lin XH, Carroll RJ. Semiparametric regression for clustered data using generalized estimating equations. J Amer Statist Assoc. 2001;96:1045–1056. doi: 10.1198/016214501753208708
- Gill RD. Large sample behavior of the product-limit estimator on the whole line. Ann Stat. 1983;11:49–58. doi: 10.1214/aos/1176346055
- Zhou M. Asymptotic normality of the ‘synthetic data’ regression estimator for censored survival data. Ann Stat. 1992;20:1002–1021. doi: 10.1214/aos/1176348667
- Owen AB. Empirical likelihood ratio confidence regions. Ann Stat. 1990;18:90–120. doi: 10.1214/aos/1176347494
- Serfling RJ. Approximation theorems of mathematical statistics. New York: John Wiley & Sons; 1980.