刘洋

发布时间：2026-08-22浏览次数：4325

代表性学术论文：

  1. Yang Liu, Yukun Liu, Pengfei Li, & Jing Qin (2018). Full likelihood inference for abundance from continuous time capture-recapture data. Journal of the Royal Statistical Seciety: Series B, 80(5), 995-1014.

  2. Yang Liu, Yukun Liu, Pengfei Li, & Lin Zhu (2021). Maximum likelihood abundance estimation from capture-recapture data when covariates are missing at random. Biometrics, 77(3), 1050-1060.

  3. Yang Liu, Pengfei Li, Yukun Liu, & Riquan Zhang (2022). Semiparametric empirical likelihood inference for abundance from one-inflated capture-recapture data. Biometrical Journal, 64(6), 1040-1155.

  4. Yang Liu, Rong Kuang, & Guanfu Liu (2023). Penalized likelihood inference for the finite mixture of Poisson distributions from capture-recapture data. Statistical Papers. Doi: 10.1007/s00362-023-01503-3.

  5. Yang Liu, Yukun Liu, Pengfei Li, & Riquan Zhang (2024). Two-step semiparametric empirical likelihood inference from capture-recapture data with missing covariates. Test. Doi: 10.1007/s11749-024-00921-1.


其他学术论文：

  1. Yang Liu, Yukun Liu, Yan Fan, & Han Geng (2018). Likelihood ratio confidence interval for the abundance under binomial detectability models. Metrika, 81(5), 549-568.

  2. Huapeng Li, Yang Liu, Yukun Liu, & Riquan Zhang (2018). Comparison of empirical likelihood and its dual likelihood under density ratio model. Journal of Nonparametric Statistics, 30(3), 581-597.

  3. Yang Liu, Xiuzhen Zhang, Mengke Li, Guanfu Liu, & Lin Zhu (2019). Abundance estimation based on optimal estimating function with missing covariates in capture-recapture studies. Statistics and Probability Letters, 152, 15-20.

  4. Yang Liu, Lin Zhu, Guanfu Liu, & Huapeng Li (2020). Abundance estimation with a categorical covariate subject to missing in continuous-time capture-recapture studies. Communications in Statistics-Theory and Methods, 49(20): 4919-4928.

  5. Mengke Li, Yan Fan, Yang Liu, & Yukun Liu (2021). Diagnostic test meta-analysis by empirical likelihood under a Copas-like selection model. Metrika, 84, 927–947.

  6. Guanfu Liu, Yan Fan, Yang Liu, & Yukun Liu (2021). Semi-parametric homogeneity test and sample size calculation for a two-sample problem under an inequality constraint. Journal of Statistical Planning and Inference, 214, 13–24.

  7. Qianqian Wang, Min Guo, Yang Liu, Mengshu Xu, Liuting Shi, Xiu Li, Jianxin Zhao, Hao Zhang, Gang Wang, & Wei Chen (2022). Bifidobacterium breve and bifidobacterium longum attenuate choline-induced plasma trimethylamine N-oxide production by modulating gut microbiota in mice. Nutrients, 14(6), 1222.

  8. YiqunXie,XizhouLi,YingWu,WentingCui,&YangLiu(2022).Developmentandvalidationofanextended Cox prognostic model for patients with ER/PR+ and HER2- breast cancer: a retrospective cohort study. World Journal of Surgical Oncology, 20(1):338. 

  9. Guanfu Liu, Rongji Mu, Yang Liu, & Zhimei Sheng (2023). Using an inequality constraint to increase the power of the homogeneity tests for a two-sample problem with a mixture structure. Communications in Statistics-Theory and Methods, 52(18), 6475-6486.

  10. 李华鹏 & 刘洋 (2019). 两样本密度比模型下的利用辅助信息的经验似然均值估计. 应用概率统计, 3, 305-316.

  11. 吴莹，洪晏，谢轶群，李曦洲，& 刘洋 (2018). ER/PR和HER2-型乳腺癌患者免疫组化指标的列线图预后模型. 中国肿瘤生物治疗杂志, 25(9), 934-949.