汤银才

汤银才

教授, 博士生导师

学术成果

教材著作

  1. 《统计年刊》(第四册)，科学出版社，2003

  2. 《现代贝叶斯统计分析》，华东师范大学出版社，2008

  3. 《科技排版及学术报告制作软件》，华东师范大学出版社，2008

  4. 《R语言与统计分析（第二版）》，华东师范大学出版社，2012

  5. 《随机过程与退化建模》，科学出版社，2025

期刊论文

英文论文

  1. Tang Yincai, Fei Heilang. “Maximum Likelihood Estimation in the Life Testing for the Two-Parameter Exponential Distribution with Replacement”. Chinese Journal of Applied Probability and Statistics, Vol.10 (1994), 399–404.

  2. Fei Heilang, Kong Fanhui, Tang Yincai. “Estimation for Two-parameter Weibull Distribution and Extreme Value Distribution under Multiple Type II Censoring”. Communications in Statistics: Theory and Methods, Vol.24 (1995), 2087–2104.

  3. Tang Yincai. “Constrained Improvement to the Parameter Estimation of Progressive Stress Accelerated Life Testing”. Journal of Shanghai Normal University, 25 (1996), 12–18.

  4. Tang Yincai, Fei Heilang. “A New Way to Estimate the Parameters in the Progressive Stress Accelerated Life Testing”. Applied Mathematics–JCU, 11B (1996), 445–458.

  5. Tang Yincai. “Approximated Parameter Estimation of Three-parameter Log-normal Distributions Based on Generalized Least Squares Method”. Journal of Shanghai Normal University, 4 (2001).

  6. Xu Haiyan, Tang Yincai. “Commentary: The Khamis–Higgins Model”. IEEE Transactions on Reliability, Vol.52 (1), (2003), 1–6.

  7. Yin-cai Tang, He-liang Fei. “Detecting Change Points in Polynomial Regression Models with an Application to Cable Data Sets”. Acta Mathematicae Applicatae Sinica (English Series), Vol.20(4) (2004), 541–546.

  8. Yong-Bin Shi, Yin-Cai Tang, et al. “Two Classes of Simple MCD Graphs”. Lecture Notes in Discrete Geometry, Combinatorics and Graph Theory. Springer-Verlag, 2007, pp.177–188.

  9. Ancha Xu, Yincai Tang. “Bayesian Analysis of Pareto Reliability with Dependent Masked Data”. IEEE Transactions on Reliability, Vol.58(4), 2009, 583–588. DOI: 10.1109/TR.2009.2026811

  10. Ancha Xu, Yincai Tang. “Reference Analysis for Birnbaum–Saunders Distribution”. Computational Statistics and Data Analysis, Vol.54(1), 2010, 185–192. DOI: 10.1016/j.csda.2009.08.004

  11. Xiaodi Wang, Yincai Tang, et al. “Design of Experiment in Global Sensitivity Analysis Based on ANOVA High-Dimensional Model Representation”. Communications in Statistics – Theory and Methods, Vol.39(6), 2010, 1183–1195. DOI: 10.1080/03610918.2010.484122

  12. Ancha Xu, Yincai Tang. “EM Algorithm for Degradation Data Analysis”. Journal of East China Normal University (Natural Science), 2010(5): 38–48.

  13. Linyi Qian, Wei Wang, Rongming Wang and Yincai Tang. “Valuation of Equity-indexed Annuity under Stochastic Mortality and Interest Rate”. Insurance: Mathematics and Economics, 47 (2010), 123–129. DOI: 10.1016/j.insmatheco.2010.06.005

  14. Ancha Xu, Yincai Tang. “Nonparametric Bayesian Analysis of Competing Risks Model with Masked Data”. Communications in Statistics – Theory and Methods, Vol.40(13), 2011, 2326–2336. DOI: 10.1080/03610921003786830

  15. Ancha Xu, Yincai Tang. “Bayesian Analysis of Birnbaum–Saunders Distribution with Partial Information”. Computational Statistics and Data Analysis, Vol.55(7), 2011, 2324–2333. DOI: 10.1016/j.csda.2011.01.021

  16. Ancha Xu, Yincai Tang. “Objective Bayesian Analysis of Accelerated Competing Failure Models under Type-I Censoring”. Computational Statistics and Data Analysis, Vol.55(10), 2011, 2830–2839. DOI: 10.1016/j.csda.2011.04.009

  17. Xiaodi Wang, Yincai Tang, Yingshan Zhang. “Orthogonal Arrays for the Estimation of Global Sensitivity Indices Based on ANOVA High-Dimensional Model Representation”. Communications in Statistics – Simulation and Computation, Vol.40(9), 2011, 1324–1341. DOI: 10.1080/03610918.2011.575500

  18. Ancha Xu and Yincai Tang. “Statistical Analysis of Competing Failure Modes in Accelerated Life Testing Based on Assumed Copulas (基于Copulas加速寿命试验中竞争失效模型的统计分析)”. Chinese Journal of Applied Probability and Statistics, Vol.28 (2012)(1), 51–62.

  19. Haifen Li, Jiajia Zhang, Yincai Tang. “Induced Smoothing for the Semiparametric Accelerated Hazards Model”. Computational Statistics and Data Analysis, Vol.56(12), Dec. 2012, 4312–4319. DOI: 10.1016/j.csda.2012.04.001

  20. Xiaodi Wang, Yincai Tang, Yingshan Zhang. “Orthogonal Arrays for Estimating Global Sensitivity Indices of Non-parametric Models Based on ANOVA High-Dimensional Model Representation”. Journal of Statistical Planning and Inference, Vol.142(7), July 2012, 1801–1812. DOI: 10.1016/j.jspi.2012.02.043

  21. Qiang Guan, Yincai Tang. “Optimal Step-Stress Test under Type-I Censoring for Multivariate Exponential Distribution”. Journal of Statistical Planning and Inference, Vol.142(7), July 2012, 1908–1923. DOI: 10.1016/j.jspi.2012.02.029

  22. Jiayu Fu, Ancha Xu and Yincai Tang. “Objective Bayesian Analysis of Pareto Distribution under Progressive Type-II Censoring”. Statistics and Probability Letters, Vol.82(10), Oct. 2012, 1829–1836. DOI: 10.1016/j.spl.2012.06.007

  23. Yincai Tang, Qiang Guan, Peirong Xu, Haiyan Xu. “Optimum Design for Type-I Step-Stress Accelerated Life Tests of Two-Parameter Weibull Distributions”. Communications in Statistics – Theory and Methods, Vol.41(21), Sept. 2012. DOI: 10.1080/03610926.2012.707456

  24. Ancha Xu, Yincai Tang. “Objective Bayesian Analysis for Linear Degradation Models”. Communications in Statistics – Theory and Methods, Vol.41(21), Sept. 2012. DOI: 10.1080/03610926.2012.705942

  25. Ancha Xu, Yincai Tang. “An Overview on Statistical Analysis for Masked System Lifetime Data”. Chinese Journal of Applied Probability and Statistics, Vol.28(4), 2012, 380–6388 (pp. 380–638).

  26. Kamran Abbas, Tang Yincai, Kamran Abbas and Tang Yincai. “Comparison of Estimation Methods for Fréchet Distribution with Known Shape”. Caspian Journal of Applied Sciences Research, Vol.1(10), 2012, 58–64.

  27. Abbas, K. and Tang Y. (2013). “Estimation of Parameters for Fréchet Distribution Based on Type-II Censored Samples”. Caspian Journal of Applied Sciences Research, 2(7), 36–43.

  28. Kamran Abbas, Jiayu Fu, Yincai Tang. “Bayesian Estimation of Gumbel Type-II Distribution”. Data Science Journal, Vol.12, August 2013, 33–46.

  29. Ancha Xu and Yincai Tang. “Posterior Property in Nonparametric Mixed-Effects Model”. Applied Mathematics B – A Journal of Chinese Universities (高校应用数学学报英文版), Series B, Vol.28(3), September 2013, 369–378.

  30. Qiang Guan, Tang Yincai. “Optimal Design of Accelerated Degradation Test Based on Gamma Process Models”. Chinese Journal of Applied Probability and Statistics, Vol.29(2), 2013, 213–224.

  31. Qiang Guan, Yincai Tang, Ancha Xu. “Objective Bayesian Analysis for Bivariate Marshall–Olkin Exponential Distribution”. Computational Statistics and Data Analysis, Vol.64, August 2013, 299–313.

  32. Abbas, K. and Tang Y. “Objective Bayesian Analysis of Fréchet Stress Strength Model”. Statistics and Probability Letters, Vol.84, January 2014, 169–175.

  33. Ancha Xu, Yincai Tang, Qiang Guan. “Bayesian Analysis of Masked Data in Step-Stress Accelerated Life Testing”. Communications in Statistics – Theory and Methods, Vol.43(8), 2014, 2016–2030.

  34. Jiayu Fu, Yincai Tang, Qiang Guan. “Objective Bayesian Analysis for Recurrent Events in Presence of Competing Risks”. Quality Technology and Quantitative Management, Vol. 11(3), 2014, 265–279.

  35. Ancha Xu, Sanjib Basu, Yincai Tang. “A Full Bayesian Approach for Masked Data in Step-Stress Accelerated Life Testing”. IEEE Transactions on Reliability, Vol.63(3), September 2014, 798–806.

  36. Haifen Li, Jiajia Zhang, Yincai Tang. “Smooth Semi-nonparametric Analysis for Mixture Cure Models and Its Application to Breast Cancer”. Australian & New Zealand Journal of Statistics, Vol.56(3), September 2014, pp. 217–235.

  37. Xiaodi Wang, Yingshan Zhang, Yincai Tang. “Feasible Criterion for Designs Based on Fixed Effect ANOVA Model”. Statistics and Probability Letters, Vol. 87, April 2014, pp. 134–142.

  38. Ancha Xu, Yincai Tang. “A Bayesian Method for Planning Accelerated Life Testing”. IEEE Transactions on Reliability, Vol. 64(4), December 2015, pp. 1383–1392.

  39. Ancha Xu, Yincai Tang. “Reference Optimality Criterion for Planning Accelerated Life Testing”. Journal of Statistical Planning and Inference, 2015, 167, pp. 14–26.

  40. Ancha Xu, Yincai Tang, Dongchu Sun. “Objective Bayesian Analysis for Masked Data under Symmetric Assumption”. Statistics and Its Interface, Vol. 8 (2015), pp. 227–237.

  41. Kamran Abbas, Yincai Tang. “Analysis of Fréchet Distribution Using Reference Priors”. Communications in Statistics – Theory and Methods, Vol. 44(14), 2015, pp. 2945–2956.

  42. Pingping Wang, Yincai Tang, Hui Chen. “Bayesian Analysis for Change-point Linear Regression Models”. Chinese Journal of Applied Probability and Statistics, Vol. 31(1), 2015, pp. 89–102.

  43. Ancha Xu, Jiayu Fu, Yincai Tang, Qiang Guan. “Bayesian Analysis of Constant-Stress Accelerated Life Test for the Weibull Distribution Using Noninformative Priors”. Applied Mathematical Modelling, Vol. 39 (2015), pp. 6183–6195.

  44. Kamran Abbas, Yincai Tang. “Bayesian Estimation of Fréchet Distribution under Asymmetric Loss Functions”. The Aligarh Journal of Statistics, Vol. 35 (2015), pp. 91–106.

  45. Qiang Guan, Yincai Tang. “Bayesian Planning of Optimal Step-Stress Accelerated Life Test for Log-Location-Scale Distributions”. Applied Mathematics Modelling, Vol. 44(4), 2016, pp. 2743–2755.

  46. Kamran Abbas, Yincai Tang. “Objective Bayesian Analysis for Log-logistic Distribution”. Communications in Statistics – Simulation and Computation, Vol. 45(8), 2016, pp. 2782–2791. DOI: 10.1080/03610918.2014.925925

  47. Ancha Xu, Yincai Tang, Qiang Guan, Xinze Lian. “Planning Simple Step-Stress Accelerated Life Tests Using Reference Optimality Criterion”. Journal of Risk and Reliability, Vol. 230(1), 2016, pp. 85–92. DOI: 10.1177/1748006X15580469

  48. Qiang Guan, Yincai Tang, Ancha Xu. “Objective Bayesian Analysis for Accelerated Degradation Tests Based on Wiener Process Models”. Applied Mathematical Modelling, Vol. 40(4), 2016, pp. 2743–2755. DOI: 10.1016/j.apm.2015.09.076

  49. Yongqiang Lian, Yincai Tang, Yijun Wang. “Objective Bayesian Analysis of JM Model in Software Reliability”. Computational Statistics and Data Analysis, Vol. 109, 2017, pp. 199–214.

  50. Yincai Tang, Wenchun Liu, Ancha Xu. “Statistical Inference for Zero-and-One-Inflated Poisson Models”. Statistical Theory and Related Fields, Vol. 1(2), 2017, pp. 216–226.

  51. Yincai Tang, Jiayu Fu, Wenchun Liu, Ancha Xu. “Bayesian Analysis of Repairable Systems with Modulated Power Law Process”. Applied Mathematical Modelling, Vol.44 (2017), 357–373.

  52. Pingping Wang, Yincai Tang, Ancha Xu. “Bayesian Analysis of Compound Poisson Process with Change-point”. Quality Technology & Quantitative Management, 2017, 1–21. DOI: 10.1080/16843703.2017.1399511

  53. Ancha Xu, Shirong Zhou, Yincai Tang. “Bayesian Analysis of Series System with Dependent Causes of Failure”. Statistical Theory and Related Fields, Vol.1(1), 2017, 128–140.

  54. Pingping Wang, Yincai Tang, Suk Joo Bae, Yong He. “Bayesian Analysis of Two-phase Degradation Data Based on Change-point Wiener Process”. Reliability Engineering and System Safety, Vol.170, 2018, 244–256.

  55. Wenchun Liu, Yincai Tang, Ancha Xu. “A Zero-and-One Inflated Poisson Model and Its Application”. Statistics and Its Interface, Vol.11(2), 2018, 339–351.

  56. Qiang Guan, Yincai Tang. “Bayesian Planning of Optimal Step-Stress Accelerated Life Test for Log-location-scale Distributions”. Acta Mathematicae Applicatae Sinica, Vol.34(1), 2018, 51–64.

  57. Pingping Wang, Yincai Tang, Suk Joo Bae, Ancha Xu. “Bayesian Approach for Two-phase Degradation Data Based on Change-point Wiener Process with Measurement Errors”. IEEE Transactions on Reliability, Vol.67(2), 2018, 688–700.

  58. Ancha Xu, Lijuan Shen, Bingxing Wang, Yincai Tang. “On Modeling Bivariate Wiener Degradation Process”. IEEE Transactions on Reliability, Vol.67(3), 2018, 897–906.

  59. Lijuan Shen, Yudong Wang, Qingqing Zhai, Yincai Tang. “Degradation Modeling Using Stochastic Processes with Random Initial Degradation”. IEEE Transactions on Reliability, Vol.68(4), 2019, 1320–1329.

  60. Shirong Zhou, Ancha Xu. “Exponential Dispersion Process for Degradation Analysis”. IEEE Transactions on Reliability, Vol.68(2), 2019, 398–409.

  61. Yijun Wang, Jiajia Zhang, Yincai Tang. “Bayesian Approach for Proportional Hazards Mixture Cure Model Allowing Non-curable Competing Risk”. Journal of Statistical Computation and Simulation, Communications in Statistics: Theory and Methods, Vol.49(15), 2020, 3663–3680.

  62. Wenchun Liu, Yincai Tang, Xianyi Wu. “Separating Variables to Accelerated Non-convex Regularized Optimization”. Computational Statistics and Data Analysis, Vol.147, 2020, 106943.

  63. Yijun Wang, Jiajia Zhang, Yincai Tang. “Semiparametric Estimation for Accelerated Failure Time Mixture Cure Model Allowing Non-curable Competing Risk”. Statistical Theory and Related Fields, Vol.4(1), 2020, 97–108.

  64. Xuan Li, Yincai Tang, Ancha Xu. “Objective Bayesian Analysis of Weibull Mixture Cure Model”. Quality Engineering, Vol.32(3), 2020, 449–464.

  65. Wenchun Liu, Yincai Tang, Ancha Xu. “Zero-and-One Inflated Poisson Regression Model”. Statistical Papers, Vol.62, 2021, 915–934.

  66. Yijun Wang, Chao Cai, Wenbin Lu, Jiajia Zhang, Yincai Tang. “Semiparametric Estimation for Proportional Hazards Mixture Cure Model Allowing Non-curable Competing Risk”. Journal of Statistical Planning and Inference, Vol.211, 2021, 171–189.

  67. Ancha Xu, Shirong Zhou, Yincai Tang. “A Unified Model for System Reliability Evaluation under Dynamic Operating Conditions”. IEEE Transactions on Reliability, Vol.70(1), 2021, 65–72.

  68. Shirong Zhou, Yincai Tang. “Variational Bayesian Analysis for Wiener Degradation Model with Random Effects”. Communications in Statistics – Theory and Methods, Vol.50(16), 2021, 3769–3789.

  69. Pingping Wang, Ting Fung Ma, Dipankar Bandyopadhyay, Yincai Tang, Jun Zhu. “Composite Likelihood Inference for Oral Periodontal Data with Replicated Spatial Patterns”. Statistics in Medicine, 2021, August 11.

  70. Shirong Zhou, Ancha Xu, Yincai Tang. “A Generalized Wiener Process with Dependent Degradation Rate and Volatility and Non-constant Mean-to-variance Ratio”. Reliability Engineering and System Safety, 2021.

  71. Pingping Wang, Ting Fung Ma, Dipankar Bandyopadhyay, Yincai Tang, Jun Zhu. “Composite Likelihood Inference for Ordinal Periodontal Data with Replicated Spatial Patterns”. Statistics in Medicine, August 11, 2021.

  72. Shirong Zhou, Ancha Xu, Yincai Tang. “A Generalized Wiener Process with Dependent Degradation Rate and Volatility and Non-Constant Mean-to-Variance Ratio”. Reliability Engineering and System Safety, Vol.40, 2021, pp5871–5893.

  73. Wenchun Liu, Guanfu Liu, Yincai Tang. “Robust Sparse Reduced-Rank Regression with Response Dependency”. Symmetry, Vol.14, 1617, 2022.

  74. Yongqiang Lian, Yincai Tang, Shirong Zhou. “Research on Three-Step Accelerated Gradient Algorithm in Deep Learning”. Statistical Theory and Related Fields, 2022, 6(1), 40–57.

  75. Guihong Liu, Quanqiang Guan, Yincai Tang, Yunhuei Tzeng. “Interval Modeling for Gamma Process Degradation Model”. Symmetry, 2022, Vol.14, 954.

  76. Jia Wei Xu, Yincai Tang. “Bayesian Framework for Multi-Wave COVID-19 Epidemic Analysis Using Empirical Vaccination Data”. Symmetry, 2022, Vol.10, 21.

  77. Shirong Zhou, Ancha Xu, Yincai Tang. “Fast and Accurate Bayesian Inference of Reparameterized Gamma Process with Random Effects”. IEEE Transactions on Reliability, 2023, Vol.99, pp1–14.

  78. Xiaofan Lin, Siliang Zhang, Yincai Tang, Xuan Li. “A Gibbs-INLA Algorithm for Multidimensional Graded Response Model Analysis”. British Journal of Mathematical and Statistical Psychology, 2023, 12321.

  79. Haiyan Zhu, Danni Lu, M.D., D. Ware Branch, James Troendle, Yincai Tang, Jun Zhang. “Oxytocin Is Not Associated with Postpartum Hemorrhage in Labor Augmentation: A Retrospective Cohort Study in the United States”. American Journal of Obstetrics & Gynecology, 2023.

  80. Shirong Zhou, Yincai Tang, Ancha Xu. “Fast Approximate Bayesian Inference for Step-Stress Accelerated Degradation Tests Based on Wiener Process”. IEEE Transactions on Reliability, 2023.

中文论文

  1. 费恒良, 汤银才. 固体电阻载电容器寿命进应力加速寿命试验及数据处理. 应用概率统计, 13(3), 1997, 330–332.

  2. 汤银才. 第三届全国统计科学技术进步奖获奖文集, 序进应力加速寿命试验的统计分析及其在电子元件上的应用, 1997年10月.

  3. 汤银才, 费恒良. 基于 Gibbs 抽样的 Weibull 分布序进应力加速寿命试验的 Bayes 分析. 数理统计与应用概率, 13(1998), 81–88.

  4. 汤银才, 费恒良. Weibull 分布序进应力加速寿命试验的统计分析及其软件包. 高校应用数学学报, 4(1998), 408–413.

  5. 汤银才. 加速寿命试验 Bayes 估计算法的改进. 应用数学与计算数学学报, 11(1997.12), 37–45.

  6. 汤银才. 三参数 Weibull 分布的渐近广义最小二乘估计. 应用概率统计, 15(1999), 187–192.

  7. 汤银才. 关于资本市场的新闻思考. 载《改革开放与市场经济文选》, 刘茂才主编, 中国书籍出版社, 北京, 1998, 648–650.

  8. 汤银才. TFR模型下 Weibull 分布加速试验极大似然估计的保序改进. 数理统计与管理, 20(2001), 214–217.

  9. 汤银才. 沪深股市股价收益的分布与时序分析. 上海师范大学学报, 32(2003).

  10. 汤银才, 刘方方. TFR模型与逆累积下Weibull分布加速试验的Bayes分析. 上海师范大学学报(自然科学版), 33(1)(2004), 36–41.

  11. 武东, 汤银才. 寿命分布的 PP 图. 数理统计与管理, 2004年.

  12. 武东, 费恒良, 汤银才. PP 图及其在可靠性中的应用. 上海师范大学学报(自然科学版), 33(2), 2004, 13–17.

  13. 周晓东, 顾定全, 汤银才. 多重缺失寿命泊松试验近似 Bayes 分析. 可靠性工程, 4(1), 2005, 15–17.

  14. 金莹, 汤银才. Weibull 分布下异常数据的线性检验方法. 数理统计与管理, 24(2005), 207–210.

  15. 武东, 汤银才. 已知变量下二次回归模型中差变系数分析. 数理统计与管理, 24(2005), 147–150.

  16. 刘琴, 汤银才. 分层抽样中 R 的分层估计量的可用性及其方误差的估计. 数理统计与管理, 24(2005), 85–88.

  17. 金莹, 丰美玲, 汤银才. 整群抽样线性均值的回归估计. 统计与决策, 2005(11): 4–5.

  18. 汤银才, 刘方方. 基于 Laplace 公式 Weibull 分布序加试验的 Bayes 分析. 中国现场统计研究会2005年学术年会, 数理统计与管理, 24(2005), 215–218.

  19. 汤银才, 晁月晓, 高校应用数学学报. 指数寿命市场合加试验软数据的 Bayes 统计分析. 高校应用数学学报, 21(2)(2006), 183–190.

  20. 汤银才, 刘方方. CE 模型下 Weibull 分布序加试验的 Bayes 分析. 系统科学与数学, 26(2006): 342–351.

  21. 汤银才. 多探头变联电磁绝缘层回轴角显示仪数据的统计分析与在线质量控制系统. 应用概率统计, Vol.22, 2006(2): 214–219.

  22. 张青, 武东, 汤银才. 多目标八非合作对策安全点的刻画与比较. 燕山大学学报, 30(2), 2006, 105–108.

  23. 武东, 张青, 汤银才. 基于稳定分布的股票收益特征分析. 统计与决策, 2006(10): 92–93.

  24. 武东, 汤银才. 稳态分布及其在金融中的应用. 应用概率统计, Vol.23(4), 2007(4): 434–445.

  25. 武东, 张青, 汤银才. 指数分布的贝叶斯估计. 电子产品可靠性与环境试验, Vol.25(6), 2007, 48–50.

  26. 武东, 汤银才. 基于稳定分布的 PARCH 模型. 数理统计与管理, Vol.26, 2007(4), 610–614.

  27. 周晓东, 汤银才, 黄晓良. 定数样步加试验缺失数据场合下的参数估计. 中国现场统计研究会第十三届学术年会论文集, 2007, 67–70.

  28. 武东, 汤银才. CE模型下指数分布步加加试验的贝叶斯估计. 数理统计与管理, Vol.27(3), 2008, 423–427.

  29. 武东, 汤银才. 基于稳定分布的 EGARCH 模型. 工程数学学报, Vol.25(1), 2008, 29–34.

  30. 周晓东, 汤银才, 黄晓良. 剩删类数据成布尔分布参数的贝叶斯统计分析. 上海师范大学学报(自然科学版), Vol.37(1), 2008, 28–34.

  31. 汤银才, 候道燕. 三参数 Weibull 分布参数的 Bayes 估计. 系统科学与数学, Vol.29(1), 2009, 109–115.

  32. 刘娟, 汤银才. 混合双参数广义 Pareto 分布的参数估计. 数学的实践与认识, Vol.39(20), 2009, 106–110.

  33. 将书平, 汤银才. 混合 Weibull 分布参数估计的 ECM 算法. 系统科学与数学, Vol.20(4), 2010, 541–546.

  34. 周晓东, 汤银才. 加速寿命试验下加速率和试验的稳健设计. 数理统计与管理, Vol.29(3), 2010, 441–449.

  35. 孙丽明, 汤银才. 在已计截尾样本下三参数威布尔分布的矩估计. 数学的实践与认识, Vol.40(22), 2010, 156–161.

  36. 张青, 武东, 汤银才. 逐步型截尾下指数分布恒加试验的贝叶斯分析. 山东理工大学学报, Vol.24(6), 2010, pp11–14.

  37. 武东, 汤银才. 指数分布逐次定数截尾试验的多层贝叶斯估计. 上海理工大学学报, Vol.28, 2011, pp113–116.

  38. 李海芬, 汤银才. 对数稳态分布加速寿命试验的贝叶斯分析. 系统科学与数学, Vol.31(4), 2011, 448–457.

  39. 武东, 毕黎, 汤银才. 逐步恒加型截尾下指数分布恒加试验的统计分析. 数理统计与管理, Vol.31(6), 2012, 41–46.

  40. 武东, 汤银才. Weibull 分布步进应力加速寿命试验的 Bayes 估计. 应用数学学报, Vol.36(3), 2013, p495–501.

  41. 黄昌兰, 汤银才. 变量模型下 Weibull 分布恒加试验的 Bayes 分析. 系统科学与数学, Vol.33(9), 2013, pp1105–1112.

  42. 孙丽玮, 汤银才. 定时截尾样本下三参数 Weibull 分布修正矩估计的强相合性. 应用概率统计, Vol.29(1), 2013, pp31–41.

  43. 管强, 汤银才, 邱锦明. 广义指数分布下恒定应力加速寿命试验的贝叶斯分析. 数学的实践与认识, Vol.44(4), 2014, pp188–196.

  44. 王红军, 汤银才. 具有稳定噪声的 ARMA 模型的贝叶斯分析与应用. 应用数学学报, Vol.38(3), 2015, pp466–476.

  45. 王全国, 管强, 汤银才. 贝叶斯更新技术在石化装置气体泄漏频率分析中的应用研究. 中国科技论文在线 (http://www.paper.edu.cn), 2014.8.

  46. 王全国, 汤银才, 管强. 石化装置氢气泄漏频率的贝叶斯分析. 数理统计与管理, 2016(4), 594–602.

  47. 王红军, 汤银才. 具有稳定分布噪声的多重季节模型的贝叶斯分析. 应用数学学报, 40(4), 2017, 519–529.

  48. 曾林慈, 汤银才, 窦雯. 定数截尾数据缺失场合 Frechet 分布参数的近似极大似然估计. 应用概率统计, 33(3), 2017, 310–316.

  49. 管强, 汤银才. 基于线性退化轨道的区间型建模分析及应用. 应用概率统计, 34(4), 2018, 427–440.

  50. 管强, 汤银才. 基于维纳过程步进应力加速退化试验的客观贝叶斯分析. 应用概率统计, 34(6), 2018, 613–629.

会议邀请报告 / 论文

  1. Tang Yincai, Fei Heliang. Bayesian Analysis for the Progressive Stress Accelerated Life Testing under Weibull Distributions. The Third International Conference of Reliability, Maintenance and Safety (ICRMS), Guangzhou, 1996, 360–364.

  2. Tang Yincai. The Estimation for the Ordered Location Parameters of Multiple Exponential Distributions. The Fourth International Conference of Reliability, Maintenance and Safety (ICRMS), Shanghai, 1999, 99–104.

  3. Tang Yincai. Bayesian Statistical Analysis of Progressive Stress Accelerated Life Testing of Log-Normal Distributions under CE Model. The Fifth International Conference of Reliability, Maintenance and Safety (ICRMS), Dalian, 2001, 109–114.

  4. Tang Yincai. Bayesian Statistical Analysis of Progressive Stress Accelerated Life Testing of Log-Normal Distributions under CE Model. The Fifth International Chinese Statistical Association (ICSA) International Conference, 17–18 August 2001, The University of Hong Kong.

  5. Tang Yincai. Bayesian Inference for the Weibull Step-Stress Accelerated Life Tests under TFR Model. Bernoulli Society East Asian and Pacific Regional Conference, 18–20 December 2003, The Hong Kong University of Science and Technology.

  6. Tang Yincai. Life Time and Statistical Analysis of SSALT for Weibull Distributions under TFR Model. Proceedings of the 6th International Conference on Reliability, Maintainability and Safety (ICRMS), Xi’an, Hua Xia Publishing House, 2004, 224–228.

  7. Tang Yincai. Statistical Analysis of Step-Stress TFR Model for Weibull Distributions under Inverse Power Law. Proceedings of the 1st International Conference on Maintainability, Chengdu, China, 2006.10.15–18.

  8. 汤银才. 基于Gibbs抽样带约束参数指数分布的Bayes统计推断. 全国第五届可靠性学术会议论文集, 机械工业出版社, 湖北, 1995年5月, 58–60.

  9. 汤银才. 指数分布场合多总体带约束参数的估计与比较. 中国现场统计学会第八届年会论文集, 贵州, 1997, 101–104.

  10. 汤银才. Weibull分布恒加一步加试验参数的二步广义最小二乘估计. 全国六届可靠性学术会议论文集, 机械工业出版社, 山东, 1998年10月, 1–6.

  11. 刘兴兴, 汤银才. 证券收益的随机游动检验. 中欧国际工商学院 “中国金融市场研究” 研讨会, 1998.

  12. 汤银才, 刘方方. 基于Laplace公式Weibull分布序加试验的Bayes分析. 中国现场统计研究会2005年学术年会, 数理统计与管理, 24(2005), 215–218.

  13. 汤银才. TFR模型下Weibull加速寿命试验的统计分析. 第八届全国概率统计年会, 2006.10.28–31, 徐州.

  14. 汤银才. 加速寿命试验与退化试验(45分钟). 可靠性学术研讨会, 2006.12.2, 北京.

  15. 汤银才. 稳定分布与风险管理. 2007年统计与金融国际学术会议, 上海金融学院, 上海, 2007.6.

  16. 周晓东, 汤银才, 费恒良. 定数转控步加试验缺失数据场合下的参数估计. 中国现场统计学会第十三届学术年会论文集, 2007, 67–70.

  17. Xu Haiyan, Tang Yincai, Fei Heliang. Bayesian Design Comparison for Accelerated Life Tests. The 14th ISSAT (International Society of Science and Applied Technologies) International Conference on Reliability and Quality in Design, August 7–9, 2008, Florida, USA.

  18. Xu Haiyan, Tang Yincai, Fei Heliang. Optimal Design of Accelerated Life Testing with Multiple Estimation Objectives. The 15th ISSAT International Conference on Reliability and Quality in Design, California, USA, 2009, 6–9.

  19. Tang Yincai, Wei Xiaoling. Estimation of Maximum Likelihood Estimation for Three-parameter Log-normal Distribution. The 8th International Conference on Reliability, Maintainability and Safety (ICRMS), 2009.7.20–24, Chengdu (IEEE), pp305–307. DOI: 10.1109/ICRMS.2009.5270184

  20. Xu Peirong, Tang Yincai. Optimum Design for Type-I Step-stress Accelerated Life Tests of Two-parameter Weibull Distributions under TFR Model. The 8th International Conference on Reliability, Maintainability and Safety (ICRMS), 2009.7.20–24, pp1273–1275, Chengdu (IEEE). DOI: 10.1109/ICRMS.2009.5270050

  21. Tang Yincai, Xu Ancha. Bayesian Analysis of Masked System Lifetime Data. The 8th International Conference on Reliability, Maintainability and Safety (ICRMS), 2009.7.20–24, pp399–402, Chengdu (IEEE). DOI: 10.1109/ICRMS.2009.5270162

  22. Tang Yincai. An Overview on Statistical Analysis for Masked System Lifetime Data. 中国运筹学会可靠性分会第八届可靠性学术会议, 2009.11.6–8, 南京.

  23. Tang Yincai. Statistical Analysis and Optimum Design for Accelerated Life Tests with Competing Causes of Failure. The 1st International Conference on the Interface between Statistics and Engineering, 2009.7.13–15, Beijing.

  24. 汤银才, R 与 WinBUGS. 第二届中国 R 语言会议, 2009.12.12–13, 华东师范大学.

  25. Tang Yincai. Bayesian Factor Analysis for the Overparameterized Models. The 2011 International Workshop on Objective Bayes Methodology (O-Bayes2011), 2011.6.11–15, Shanghai.

  26. Xu Peirong, Tang Yincai, Xu Haiyan. Optimum Design for Type-I Step-Stress Accelerated Life Tests of Two-parameter Weibull Distributions. The Seventh International Conference on Mathematical Methods in Reliability (MMR2011) – Theory, Methods and Applications, 2010.6, Beijing.

  27. Ancha Xu, Yincai Tang. Objective Bayesian Analysis for Linear Degradation Models. The Seventh International Conference on Mathematical Methods in Reliability (MMR2011) – Theory, Methods and Applications, 2011.6, Beijing.

  28. 汤银才, R 工作环境简介. 第四届中国 R 语言会议, 2011.11.12–13, 华东师范大学.

  29. Xu Ancha, Yincai Tang. Bayesian Analysis of Masked Data in Step-stress Accelerated Life Testing. 2012 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), Nanjing, 2012.

  30. Tang Yincai. Objective Bayesian Analysis for Constant-stress Accelerated Life Testing. 2012 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), Nanjing, 2012.

  31. Guan Qiang, Yincai Tang. Optimal Constant-stress Test for GE Exponential Distribution. 2012 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), Nanjing, 2012.

  32. Fu Jiayu, Yincai Tang. Objective Bayesian Analysis for Recurrent Events under Competing Risks. 2012 Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM), Nanjing, 2012.

  33. 汪懿君, 汤银才, k/n 系统在部件“修旧不如新”下的定数维修模型研究. 2013年全国机械行业可靠性技术交流会论文集, 杭州, 2013, pp230–234.

  34. Xu Ancha, Tang Yincai. Planning Simple Step-stress Accelerated Life Tests using Reference Optimality Criterion. APARM2014, Sapporo, Japan, 2014.8.21–24.

  35. Tang Yincai. Objective Bayesian Methods in Reliability. International Workshop on Mathematical Reliability and Safety (MRS2016), XuZhou, June 23–25, 2016.

  36. Wenchen Liu, Yincai Tang, Ancha Xu. Statistical Inference for Zero-and-one-inflated Poisson Model. Proceedings of the 7th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM2016), Ki Mun Jung, Mitsuhiro Kimura, Li-Rong Cui (Eds.), McGraw Hill Education, Seoul, South Korea, August 24–26, 2016, pp322–329.

  37. Pingping Wang, Yincai Tang. Bayesian Hierarchical Model for Detecting Change Point in Compound Poisson Processes for Degradation Data. Proceedings of APARM2016, Ki Mun Jung, Mitsuhiro Kimura, Li-Rong Cui (Eds.), McGraw Hill Education, Seoul, South Korea, August 24–26, 2016, pp525–532.

  38. 汤银才. 数据科学中的贝叶斯统计. 第九届中国R语言会议, 2016.10.28–29, 杭州.

  39. 汤银才. 数据科学中的贝叶斯统计. 第九届中国R语言会议, 2016.11.26, 贵阳.

  40. 汤银才. 大数据、大趋势、大挑战. 第九届中国R语言会议, 2016.12.3–4, 广州.

  41. Pingping Wang, Yincai Tang, Suk Joo Bae, Yong He. Bayesian Analysis of Two-phase Degradation Data Based on Change-point Wiener Process. Proceedings of the Asia-Pacific Conference of the Prognostics and Health Management Society (PHM Asia Pacific), 2017, p.783.

  42. Yudong Wang, Yincai Tang. Statistical Analysis of Accelerated Temperature Cycling Test based on Coffin–Manson Model. Proceedings of the 2018 Asia–Pacific International Symposium on Advanced Reliability and Maintenance Modeling (APARM2018) & 2018 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering (QR2MSE2018), Qingdao, China, 2018, pp394–401.

  43. Shirong Zhou, Yincai Tang. Early Warning Strategy of Sparse Failures for High Reliable Products Based on Bayesian Method. The Third International Symposium on Stochastic Models in Reliability Engineering, Life Sciences and Operations Management (SMRLO2019), May 28–31, 2019, Beijing, China.

  44. Yudong Wang, Yincai Tang. Maximum Likelihood and Bayesian Estimation of Coffin–Manson Model in Accelerated Temperature Cycling Test. SMRLO2019, May 28–31, 2019, Beijing, China.

  45. Xiang Xiao, Yincai Tang. Bayesian Inference for Zero-and-one-inflated Geometric Distribution Regression. SMRLO2019, May 28–31, 2019, Beijing, China.

  46. Yijun Wang, Yincai Tang. Bayesian Approach for Proportional Hazards Mixture Cure Model Allowing Non-curable Competing Risk. SMRLO2019, May 28–31, 2019, Beijing, China.

  47. Xu Wang, Jun Jin, Xuan Li, Yincai Tang. Rolling Bearing Fault Diagnosis Based on Bayesian Convolutional Neural Networks. SMRLO2019, May 28–31, 2019, Beijing, China.

  48. Pingping Wang, Ancha Xu, Yincai Tang, Suk Joo Bae. Degradation Data Analysis Based on Two–Phase Gamma Process: A Bayesian Perspective. SMRLO2019, May 28–31, 2019, Beijing, China.

  49. Shirong Zhou, Yincai Tang. Variational Bayesian Analysis for Wiener Degradation Model with Random Effects. The Eleventh International Conference on Mathematical Methods in Reliability – Theory, Methods, and Applications (MMR2019), June 3–7, 2019, Hong Kong, China.

  50. Yongqiang Lian, Yincai Tang. Three-step Accelerated Gradient Algorithm in Deep Learning. International Conference on Industry 4.0 and Artificial Intelligence Technologies, August 19, 2019, University of Cambridge, United Kingdom.

  51. Yongqiang Lian, Yincai Tang. Three-step Accelerated Stochastic Gradient Algorithm in Deep Learning. Joint Forum on Big Data Analytics and Business Research, October 10, 2019, University of Cincinnati, USA.

  52. Yincai Tang. Statistical Modeling vs Machine Learning (SDSIC2019). Statistics and Data Science International Conference, December 17–19, 2019, Hangzhou, China.

  53. 汤银才. 统计学习与机器学习的比较. 第十二届中国R语言会议（上海）, 2019年12月21–22日, 上海.

  54. Jiawei Xu, Shirong Zhou, Yincai Tang, Qiwei Zhu. Alarm Ranking Model for Intelligent Management of Metro Systems based on Statistical Machine Learning Methods. 2020 Global Reliability and Prognostics and Health Management Conference (PHM–Shanghai), 2021.

  55. Xiaofan Lin, Yincai Tang. An Efficient PG-INLA Algorithm for Logistic Item Response Models Analysis. The Second International Workshop on Statistical Theory and Related Fields, Tianjin, 2023.