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Zheng, S.M. Qin, J. and Zhou, Y. (2021). Effect assessment of age and gender on the incubation period of COVID-19 with mixture regression model. Journal of Data Science. To appear.
Li, P. Song, S.S. and Zhou, Y. (2021). Semiparametric additive frailty hazard model for clustered failure time data. Canadian Journal of Statistics. To appear.
Fan, C.Y. Lu,W.B. and Zhou, Y. (2021). Testing error heterogeneity in censored linear regression. Computational Statistics and Data Analysis, 161,107207.
Jiang, Z.F. Yang, B.Y. Qin, J. and Zhou, Y. (2021). Enhanced empirical likelihood estimation of incubation period of COVID-19 by integrating published information. Statistics in Medicine. 404252-4268.
Xun, L. Zhang, G.C.Wang, D.H. and Zhou, Y. (2021) Estimating equation estimators of quantile differences for one sample with length-biased and right-censored data. Statistics and Its Interface, 14, 183-195.
Ma, H.J. Zhao,W. and Zhou, Y. *(2020). Semiparametric model of mean residual life with biased sampling data. Computational Statistics and Data Analysis, 142:106826.
Song, X.Y., Kim D., Yuan, H.L., Cui, X.Y. Lu, Z.P. Zhou, Y. andWang, Y. (2020). Volatility analysis with realized GARCH-Ito models. Journal of Econometrics, 26,761-788.
Chen, L.J. and Zhou, Y. (2020). Quantile regression in big data: a divide and conquer based strategy. Computational Statistics and Data Analysis, 142: 106892.
He, Y. F. and Zhou, Y. (2020). Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling. Accepted in Lifetime Data Analysis.
Xu, D.* and Zhou, Y. (2020). Local composite partial likelihood estimation for length-biased and right-censored data. Journal of Statistical Computation and Simulation, 89 (14), 2661C2667.
Xun, L., Li, T. and Zhou, Y. (2020). Estimators of quantile difference between two samples with length-biased and right-censored data. Test, 29, 409-429.
Liu, Y. T., Zhang, S. C. and Zhou, Y. Semiparametric quantile difference estimation for lengthbiased and right-censored data. Science in China, Mathematics. 62: 1823-1838.
Chen, X.*, Chen, Y., Wan, A. and Zhou, Y. (2019). On the asymptotic non-equivalence of efficient-GMM and MEL estimators in models with missing data. Scandinavian Journal of Statistics, 46(2),361-368
Pan, J., Zhang, S. and Zhou, Y. (2019) Variable screening for ultrahigh dimensional censored quantile regression. Journal of Statistical Computation and Simulation, 89 (3), 395C413.
Xun, L., and Zhou, Y. (2019) A generalization of Expected Shortfall based capital allocation. Statistics and Probability Letters, 146, 193-199.
Zhang, F., Peng, H. and Zhou, Y. (2019) Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling. Statistics and its Interface, 12 (1), 107-122.
Wei,W., Zhou, Y. andWan, Alan T. K. (2019) A semiparametric linear transformation model for general biased-sampling and right-censored data. Statistics and its Interface, 12(1), 77-92.
Liu, Y., Lin, C. and Zhou, Y. (2019) Nonparametric estimates of conditional quantile residual lifetime for right censored data. Statistics and its Interface, 12 (1), 61-70
Ma, H., Shi, J. and Zhou, Y. (2019) Proportional mean residual life model with censored survival data under case-cohort design. Statistics and its Interface, 12 (1), 21-33.
Wang, X., Zhou, Y. and Liu, Y. (2019) Semiparametric varying-coefficient partially linear models with auxiliary covariates. Statistics and its Interface, 11 (4), 587-602.
Qiu, Z. P., Wan Alan, T. K.*, Zhou, Y. and Gilbert, P. (2019). Smoothed rank regression for the accelerated failure time competing risks model with missing cause of failure. Statistica Sinica, 29, 23-46.
Liu, X.Q., Song, X. Y. and Zhou, Y. (2019). Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models. Science China Mathematics, 62(12), 2571-2590.
Wei, W. H. Wan, T. K. and Zhou, Y. (2018). Partially linear transformation model for lengthbiased and right-censored data. Journal of Nonparametric Statistics, 30(2), 332-367.
He, D., Zhou, Y., and Zou, H. (2018). High-dimensional variable selection with right censored length-biased data. Statistica Sinica, DOI: 10.5705/ss.202018.0089.
Lin, C. J., Wei, W. H. * and Zhou, Y. (2018). Semiparametric estimation of treatment effect with density ratio model. Communications in Statistics-Theory and Methods, 14, 3338-3359.
Zhang, L. Lin, C. and Zhou, Y. (2018). Generalized method of moments for nonignorable missing data. Statistica Sinica 28, 2107-2124
Fan, C., Ma, H. * and Zhou, Y. (2018). Quantile regression for competing risks analysis under case-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080.
Zhang, S. * and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. Journal of Multivariate Analysis, 165, 1-13.
Liu, Y., Zhang, S. * and Zhou, Y. (2018). Semiparametric estimation of quantile differences for length-biased and right-censored data. Science in China Mathematics, to appear.
Pan, J., Yu, Y., and Zhou, Y. (2018). Nonparametric independence feature screening for ultrahigh dimensional survival data. Metrika, 81, 821-847.
Yu, Y. He, D. and Zhou, Y. (2018). Robust model-free feature screening based on modified Hoeffding measure for ultra-high dimensional data, Statistics and Its Interface, 11, 473-489.
Zhang, F.*, Zhao. X. and Zhou, Y. (2018). An embedded estimating equation for additive risk model with biased-sampling data. Science in China, Mathematics, 61(8), 1495-1518.
Wang, X. J.*, Zhou, Y. and Liu, Y. (2018). Semiparametric varying-coefficient partially linear model with auxiliary covariates. Statistics and Its Interface, 11587-602.
Zhang, F. and Zhou, Y. * (2018). Nonparametric quantile estimate for length-biased and right censored data with competing risks. Communications in Statistics-Theory and Methods, 10, 2407-2424
Zhang S. Z. Pan, J. and Zhou, Y. (2018). Robust conditional nonparametric independence screening for ultrahigh-dimensional data. Statistics and Probability Letters, 143, 95-101.
Shi, J. H.*, Ma, H. J. and Zhou, Y. (2018). The nonparametric quantile estimation for lengthbiased and right-censored data. Statistics and probability Letter, 134, 150-158.
Fan, C., Ma, H.* and Zhou, Y. (2018). Quantile regression for competing risks analysis under case-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080.
Zhang, S.* and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. Journal of Multivariate Analysis, 165, 1-13.
Zhang, F. and Zhou, Y. * (2018). Nonparametric quantile estimate for length-biased and rightcensored data with competing risks. Communications in Statistics-Theory and Methods, 10, 2407-2424
Wan, A.*, Xie, S. Y. and Zhou, Y. (2017). A Varying Coefficient Approach to Estimating Hedonic Housing Price Functions and Their Quantiles. Journal of Applied Statistics, 2017(44):1979-1999
Yang X. and Zhou, Y.* (2017). Improve efficiency and reduce bias of Cox regression models for two-stage randomization designs using auxiliary covariates. Statistics in Medicine, 36(11), 1683-1695
Wang, Y. X., Zhou, Z. F., Zhou, X. and Zhou, Y.* (2017). Nonparametric and semiparametric estimation of quantile residual lifetime for length-biased and right-censored data. Canadian
Fan, C. Lu, W.* Song, R. and Zhou, Y. (2017). Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes. Journal of The Royal Statistical Society Series B, 79, 1565-1582.
Ma, H. J.* and Zhou, Y. (2017). Pseudo-likelihood for case-cohort studies under length-biased sampling. Communications in Statistics -Theory and Methods, 46(1), 28-48.
Fan, C. Zhang, F.* and Zhou, Y. (2017). Power-transformed linear quantile regression estimation for censored competing risks data. Statistics and its interface, 10, 239-254.
Xun, L., Shao, L. and Zhou, Y.* (2017). Efficiency of Estimators for Quantile Difference with Left Truncated and Right Censored Data. Statistics and probability Letter, 121, 29-36.
Li, Y. F., Ma, H. J., Wang, D. H.* and Zhou, Y. (2017). Analyzing the general biased data by additive risk model. Science China (Mathematics), 60(4), 685-700. (In Chinese)
Zhao, M., Jiang, H.*, and Zhou, Y. (2017), Estimation of percentile residual life function with left truncated and right censored data. Communications in Statistics-Theory and Methods, 46(2), 995-1006.
Zhang, L.*, Lin, C. J. and Zhou, Y. (2017). A resampling method by perturbing the estimating functions for quantile regression with missing data. Communications in Statistics- Simulation and Computation, 46(8), 6661-6671.
Cui, X.* and Zhou, Y. (2017). Estimated conditional score function for missing mechanism model with nonignorable nonresponse. Science in China (Mathematics), 60(7), 1197-1218.
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