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Wu Q. and Tang, M.L*. (2014). Flexible non-randomized response models for survey
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survey with noncompliance. Statistical Methods in Medical Research,
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Tian G.L., Tang M.L., Wu Q.*, and Liu Y. (2017). Poisson and Negative Binomial
Item Count Techniques for Surveys with Sensitive Question, Statistical Methods in
Medical Research, 2017,26(2):931~947
Liu Y., Tian G.L.*, Wu Q., Tang M.L. (2019). Poisson–Poisson item count
techniques for surveys with sensitive discrete quantitative data with Sensitive
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Zhang C, Tian G.L, Yuan K.C., Wu Q. , Li T. (2020). Multivariate zero-and-one
inflated Poisson model with applications. Journal of Computational and Applied
Mathematics, 2020, 365:112365.
Wu Q., Tang M.L*, Fung W.H., Tian G.L. Poisson Item Count Techniques with
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吴琴*,刘寅,阮建,广义泊松计数模型及其统计推断,华南师范大学学报(自然
科学版),2019,51(6):107-110.
吴琴*,刘寅,田国梁。泊松计数回归模型以及在汽车保险理赔欺诈行为中的应
用, 数理统计与管理. 2020, 39(4): 611-616.
刘寅*,吴琴. 零浮动 Poisson 项目计数方法在敏感数据抽样调查中的应用,统计
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吴琴, 葛文秀*. 基于 EM 算法的 Dirichlet 分布的参数估计, 东北师范大学学报,
To appear.
刘寅, 吴琴*. 非随机化泊松扰动模型及数据分析, 数理统计与管理, To appear.