References
- Ahmad, I., Leelahanon, S., and Li, Q. (2005), ‘Efficient Estimation of a Semiparametric Partially Linear Varying Coefficient Model’, The Annals of Statistics, 33, 258–283.
- Carroll, R.J., Ruppert, D., Stefanski, L.A., and Crainiceanu, C.M. (2006), Measurement Error in Nonlinear Models: A Modern Perspective, London: Chapman and Hall-CRC.
- Chang, J., Tang, C.Y., and Wu, T.T. (2018), ‘A New Scope of Penalized Empirical Likelihood with High-Dimensional Estimating Equations’, The Annals of Statistics, 46, 3185–3216.
- Chen, X., and Mao, L.Y. (2020), ‘Penalized Empirical Likelihood for Partially Linear Errors-in Variables Models’, AStA Advances in Statistical Analysis, 104, 597–623.
- Cui, H.J., and Kong, E.F. (2006), ‘Empirical Likelihood Confidence Region for Parameters in Semi-Linear Errors-in-variables Models’, Scandinavian Journal of Statistics, 33, 153–168.
- Cui, H.J., and Li, R.C. (1998), ‘On Parameter Estimation for Semi-Linear Errors-in-Variables Models’, Journal of Multivariate Analysis, 64, 1–24.
- Fan, J., and Huang, T. (2005), ‘Profile Likelihood Inferences on Semiparametric Varying-coefficient Partially Linear Models’, Bernoulli, 11, 1031–1057.
- Fan, J., and Li, R. (2001), ‘Variable Selection Via Nonconcave Penalized Likelihood and Its Oracle Properties’, Journal of the American Statistical Association, 96, 1348–1360.
- Fan, G.L., Liang, H.Y., and Shen, Y. (2016), ‘Penalized Empirical Likelihood for High-Dimensional Partially Linear Varying Coefficient Model with Measurement Errors’, Journal of Multivariate Analysis, 147, 183–201.
- Fan, J., and Lv, J. (2010), ‘A Selective Overview of Variable Selection in High Dimensional Feature Space’, Statistica Sinica, 20, 101–148.
- Fan, G.L., Xu, H.X., and Huang, Z.S. (2016), ‘Empirical Likelihood for Semivarying Coefficient Model with Measurement Error in the Nonparametric Part’, AStA Advances in Statistical Analysis, 100, 21–41.
- Fang, J., Liu, W., and Lu, X. (2017), ‘Penalized Empirical Likelihood for Semiparametric Models with a Diverging Number of Parameters’, Journal of Statistical Planning and Inference, 186, 42–57.
- Feng, S.Y., and Xue, L.G. (2014), ‘Bias-Corrected Statistical Inference for Partially Linear Varying Coefficient Error-in-Variables Models with Restricted Conditions’, Annals of the Institute of Statistical Mathematics, 66, 121–140.
- Gustafson, P. (2005), Measurement Error and Misclassification in Statistics and Epidemiology: Impacts and Bayesian Adjustments, London: Chapman and Hall-CRC.
- He, X., and Liang, H. (2000), ‘Quantile Regression Estimate for a Class of Linear and Partially Linear Errors-in-Variables Models’, Statistica Sinica, 10, 129–140.
- He, H., Tang, W., and Zuo, G. (2014), ‘Statistical Inference in the Partial Linear Models with the Double Smoothing Local Linear Regression Method’, Journal of Statistical Planning and Inference, 146, 102–112.
- Hu, X., Wang, Z., and Zhao, Z. (2009), ‘Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models’, Statistics and Probability Letters, 79, 1044–1052.
- Huang, Z., and Zhang, R. (2010), ‘Empirical Likelihood Based Inference for Semiparametric Varying Coefficient Partially Linear Models with Error-Prone Linear Covariates’, Statistics and Probability Letters, 79, 1798–1808.
- Huang, Z., Zhou, Z., Jiang, R., Qian, W., and Zhang, R. (2010), ‘Empirical Likelihood Based Inference for Semiparametric Varying Coefficient Partially Linear Models with Error-Prone Linear Covariates’, Statistics and Probability Letters, 80, 497–504.
- Kai, B., Li, R., and Zou, H. (2011), ‘New Efficient Estimation and Variable Selection Methods for Semiparametric Varying-Coefficient Partially Linear Models’, The Annals of Statistics, 39, 305–332.
- Leng, C., and Tang, C.Y. (2012), ‘Penalized Empirical Likelihood and Growing Dimensional General Estimating Equations’, Biometrika, 99, 703–716.
- Li, L., and Greene, T. (2008), ‘Varying Coefficients Model with Measurement Error’, Biometrics, 64, 519–526.
- Li, R., and Liang, H. (2008), ‘Variable Selection in Semiparametric Regression Modeling’, The Annals of Statistics, 36, 261–286.
- Li, G., Lin, L., and Zhu, L. (2012), ‘Empirical Likelihood for a Varying Coefficient Partially Linear Model with Diverging Number of Parameters’, Journal of Multivariate Analysis, 105, 85–111.
- Liang, H., Härdle, W., and Carroll, R.J. (1999), ‘Estimation in a Semiparametric Partially Linear Errors-in Variables Model’, The Annals of Statistics, 27, 1519–1535.
- Nierenberg, D., Stukel, T., Baron, J., Dain, B.J., Greenberg, E.R., and Skin Cancer Prevention Study Group (1989), ‘Determinants of Plasma Levels of Beta-Carotene and Retinol’, American Journal of Epidemiology, 130, 511–521.
- Otsu, T. (2007), ‘Penalized Empirical Likelihood Estimation of Semiparametric Models’, Journal of Multivariate Analysis, 98, 1923–1954.
- Owen, A. (2001), Empirical Likelihood, New York: Chapman and Hall.
- Ren, Y.W., and Zhang, X.S. (2011), ‘Variable Selection Using Penalized Empirical Likelihood’, Science China Mathematics, 54, 1829–1845.
- Tang, C.Y., and Leng, C. (2010), ‘Penalized High-Dimensional Empirical Likelihood’, Biometrika, 97, 905–920.
- Wang, H., Li, B., and Leng, C. (2009), ‘Shrinkage Tuning Parameter Selection with a Diverging Number of Parameters’, Journal of the Royal Statistical Society: Series B (Statistical Methodology), 71, 671–683.
- Wang, X., Li, G., and Lin, L. (2011), ‘Empirical Likelihood for Semi-Parametric Varying-Coefficient Partially Linear EV Model’, Metrika, 73, 171–185.
- Wang, D.Y., Wu, T.T., and Zhao, Y.C. (2019), ‘Penalized Empirical Likelihood for the Sparse Cox Regression Model’, Journal of the American Statistical Association, 201, 71–85.
- Wang, S.S., and Xiang, L.M. (2017), ‘Penalized Empirical Likelihood Inference for Sparse Additive Hazards Regression with a Diverging Number of Covariates’, Statistics and Computing, 27, 1347–1364.
- Wang, H.J., Zhu, Z., and Zhou, J. (2009), ‘Quantile Regression in Partially Linear Varying Coefficient Models’, The Annals of Statistics, 37, 3841–3866.
- Wang, H.Y., Zou, G., and Wan, A. (2013), ‘Adaptive LASSO for Varying-Coefficient Partially Linear Measurement Error Models’, Journal of Statistical Planning and Inference, 143, 40–54.
- Wei, C. (2012), ‘Statistical Inference for Restricted Partially Linear Varying Coefficient Error-in-Variables Models’, Journal of Statistical Planning and Inference, 142, 2464–2472.
- Wei, C., and Mei, C. (2012), ‘Empirical Likelihood for Partially Linear Varying-Coefficient Models with Missing Response Variables and Error-Prone Covariates’, Journal of the Korean Statistical Society, 41, 97–103.
- Wu, T.T., Li, G., and Tang, C.Y. (2015), ‘Empirical Likelihood for Censored Linear Regression and Variable Selection’, Scandinavian Journal of Statistics, 42, 798–812.
- Yan, L., and Chen, X. (2014), ‘Empirical Likelihood for Partly Linear Models with Errors in All Variables’, Journal of Multivariate Analysis, 130, 275–288.
- Yang, J., Lu, F., and Yang, H. (2017), ‘Quantile Regression for Robust Estimation and Variable Selection in Partially Linear Varying-Coefficient Models’, Statistics, 51, 1179–1199.
- You, J., and Chen, G. (2006), ‘Estimation of a Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Model’, Journal of Multivariate Analysis, 97, 324–341.
- You, J., and Zhou, Y. (2006), ‘Empirical Likelihood for Semiparametric Varying-Coefficient Partially Linear Regression Models’, Statistics and Probability Letters, 76, 412–422.
- You, J., Zhou, Y., and Chen, G. (2006), ‘Corrected Local Polynomial Estimation in Varying-Coefficient Models with Measurement Errors’, The Canadian Journal of Statistics, 34, 391–410.
- Zhao, P., and Xue, L. (2009a), ‘Empirical Likelihood Inferences for Semiparametric Varying-Coefficient Partially Linear Errors-in-Variables Models with Longitudinal Data’, Journal of Nonparametric Statistics, 21, 907–923.
- Zhao, P., and Xue, L. (2009b), ‘Variable Selection for Semiparametric Varying Coefficient Partially Linear Models’, Statistics and Probability Letters, 79, 2148–2157.
- Zhao, P., and Xue, L. (2010), ‘Variable Selection for Semiparametric Varying Coefficient Partially Linear Errors-in-Variables Models’, Journal of Multivariate Analysis, 101, 1872–1883.
- Zhou, Y., and Liang, H. (2009), ‘Statistical Inference for Semiparametric Varying-Coefficient Partially Linear Models with Error-Prone Linear Covariates’, The Annals of Statistics, 37, 427–458.