论文与著作

目前以第一作者或通讯作者发表论文 53 篇,其中 ESI 高被引论文 4 篇。具体可见我的 谷歌学术Researchgate 或者 简历

期刊论文 (下划线代表学生)

  1. Ancha Xu, Jinyang Wang, Yincai Tang, Piao Chen. (2024+). “Efficient online estimation and remaining useful life prediction based on the inverse Gaussian process.” Naval Research Logistics. [link]

  2. Liangliang Zhuang, Ancha Xu, Guanqi Fang, Yincai Tang. (2024+). “Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction.” Journal of Quality Technology. [link]

  3. Ancha Xu, Guanqi Fang, Liangliang Zhuang, Cheng Gu. (2024+). “A multivariate student-t process model for dependent tail-weighted degradation data.” IISE Transactions, In press. [link], [code]

  4. Liangliang Zhuang, Ancha Xu, Yijun Wang, Yincai Tang. (2024). “Remaining useful life prediction for two-phase degradation model based on reparameterized inverse Gaussian process.” European Journal of Operational Research, 319(3), 877-890. [link]

  5. Ancha Xu, Binbing Wang, Di Zhu, Jihong Pang, Xinze Lian. (2024+). “Bayesian reliability assessment of permanent magnet brake under small sample size.” IEEE Transactions on Reliability, In press. [link]

  6. Shirong Zhou, Ancha Xu, Yincai Tang, Lijuan Shen. (2024). “Fast Bayesian inference of reparameterized gamma process with random effects.” IEEE Transactions on Reliability, 73(1), 399-412. [link]

  7. Liangliang Zhuang, Ancha Xu, Xiaolin Wang. (2023). “A prognostic driven predictive maintenance framework based on Bayesian deep learning.” Reliability Engineering & System Safety, 234, 109181. [link]

  8. 徐安察, 章礼明, 顾诚, 吴昌仁. (2023). “Bayesian Inference for Multicomponent Stress–Strength Model Under Weibull Distribution.” 应用概率统计, 39(6), 907-923. [link]

  9. Liangliang Zhuang, Ancha Xu, Binbing Wang, Yuguo Xue, Songzi Zhang. (2023). “Data analysis of progressive-stress accelerated life tests with group effects.” Quality Technology & Quantitative Management, 20(6), 763-783. [link]

  10. Liming Zhang, Ancha Xu, Liuting An, Min Li. (2022). “Bayesian inference of system reliability for multicomponent stress-strength model under Marshall-Olkin Weibull distribution.” Systems, 10(6), 196. [link]

  11. Chunling Luo, Lijuan Shen, Ancha Xu. (2022). “Modelling and estimation of system reliability under dynamic operating environments and lifetime ordering constraints.” Reliability Engineering & System Safety, 218, 108136. [link]

  12. Shirong Zhou, Yincai Tang, Ancha Xu. (2021). “A generalized Wiener process with dependent degradation rate and volatility and time-varying mean-to-variance ratio.” Reliability Engineering & System Safety, 216, 107895. [link]

  13. Ancha Xu, Huizi He, Bingpeng Yu. (2021). “A class of generalized Birnbaum-Saunders distributions for reliability modeling.” Quality and Reliability Engineering International, 37(5), 1772-1782. [link]

  14. Jiawen Hu, Ancha Xu, Bo Li, Haitao Liao. (2021). “Condition-based maintenance planning for multi-state systems under time-varying environmental conditions.” Computers & Industrial Engineering, 158, 107380. [link]

  15. Liangliang Zhuang, Ancha Xu, Jihong Pang. (2021). “Product reliability analysis based on heavily censored interval data with batch effects.” Reliability Engineering & System Safety, 212, 107622. [link]

  16. Ancha Xu, Shirong Zhou, Yincai Tang. (2021). “A unified model for system reliability evaluation under dynamic operating conditions.” IEEE Transactions on Reliability, 70(1), 65-72. [link]

  17. Ancha Xu, Jiawen Hu, Pingping Wang. (2020). “Degradation modeling with subpopulation heterogeneities based on the inverse Gaussian process.” Applied Mathematical Modelling, 81, 177-193. [link]

  18. Ancha Xu, You-Gan Wang, Shurong Zheng, Fengjing Cai. (2020). “Bias reduction in the two-stage method for degradation data analysis.” Applied Mathematical Modelling, 77, 1413-1424. [link]

  19. Qiang Guan, Yincai Tang, Ancha Xu. (2019). “Objective Bayesian analysis for competing risks model with Wiener degradation phenomena and catastrophic failures.” Applied Mathematical Modeling, 74, 422-440. [link]

  20. Shirong Zhou, Ancha Xu. (2019). “Exponential Dispersion Process for Degradation Analysis.” IEEE Transactions on Reliability, 68(2), 398-409. [link]

  21. Ancha Xu, Lijuan Shen. (2018). “Improved on-line estimation for gamma process.” Statistics and Probability Letters, 143, 67-73. [link]

  22. Ancha Xu, Lijuan Shen, Bingxing Wang, Yincai Tang. (2018). “On modeling bivariate Wiener degradation process.” IEEE Transactions on Reliability, 67(3), 897-906. [link]

  23. Pingping Wang, Yincai Tang, Suk Joo Bae, Ancha Xu. (2018). “Bayesian approach for two-phase degradation data based on change-point Wiener process with measurement errors.” IEEE Transactions on Reliability, 67(2), 688-700. [link]

  24. Yan Shen, Ancha Xu. (2018). “On the dependent competing risks using Marshall-Olkin bivariate Weibull model: parameter estimation with different methods.” Communications in Statistics – Theory and Methods, 47(22), 5558-5572. [link]

  25. Wenchen Liu, Yincai Tang, Ancha Xu. (2018). “A zero-and-one-inflated Poisson model and its application.” Statistics and Its Interface, 11(1), 339-351. [link]

  26. Ancha Xu, Shirong Zhou. (2017). “Bayesian analysis of series system with dependent causes of failure.” Statistical Theory and Related Fields, 1(1), 128-140. [link]

  27. Yincai Tang, Jiayu Fu, Wenchen Liu, Ancha Xu. (2017). “Bayesian analysis of repairable systems with modulated power law process.” Applied Mathematical Modeling, 44, 357-373. [link]

  28. Piao Chen, Ancha Xu, Zhisheng Ye. (2016). “Generalized fiducial inference for accelerated life tests with Weibull distribution and progressively type-II censoring.” IEEE Transactions on Reliability, 65(4), 1737-1744. [link]

  29. Hui Zhang, Ancha Xu. (2016). “Bayesian analysis of the Marshall-Olkin bivariate Weibull distribution.” 应用概率统计, 32(4), 419-432. [link]

  30. Yalan Li, Ancha Xu. (2016). “Fiducial inference for Birnbaum-Saunders distribution.” Journal of Statistical Computation and Simulation, 86(9), 1673-1685. [link]

  31. Qiang Guan, Yincai Tang, Ancha Xu. (2016). “Objective Bayesian analysis for accelerated degradation test based on Wiener process models.” Applied Mathematical Modeling, 40(4), 2743-2755. [link]

  32. Ancha Xu, Yincai Tang, Qiang Guan, Xinze Lian. (2016). “Planning simple step-stress accelerated life tests using reference optimality criterion.” Proceedings of the iMeche, Part O: Journal of Risk and Reliability, 230(1), 85-92. [link]

  33. Ancha Xu, Yincai Tang. (2015). “A Bayesian method for planning accelerated life testing.” IEEE Transactions on Reliability, 64(4), 1383-1392. [link]

  34. Ancha Xu, Jiayu Fu, Yincai Tang, Qiang Guan. (2015). “Bayesian analysis for constant-stress accelerated life test under noninformative priors.” Applied Mathematical Modeling, 39(20), 6183-6195. [link]

  35. 李亚兰, 徐安察. (2015). “Pareto 分布下屏蔽数据的贝叶斯分析及其应用.” 应用概率统计, 31(3), 267-276. [link]

  36. Ancha Xu, Yincai Tang. (2015). “Reference optimality criterion for planning accelerated life testing.” Journal of Statistical Planning and Inference, 167, 14-26. [link]

  37. Ancha Xu, Yincai Tang, Dongchu Sun. (2015). “Objective Bayesian analysis for masked data under symmetric assumption.” Statistics and Its Interface, 8(2), 227-237. [link]

  38. Ancha Xu, Sanjib Basu, Yincai Tang. (2014). “A full Bayesian approach for masked data in step-stress accelerated life testing.” IEEE Transactions on Reliability, 63(3), 798-806. [link]

  39. Qiang Guan, Yincai Tang, Jiayu Fu, Ancha Xu. (2014). “Optimal Multiple Constant-stress Accelerated Life Tests For Generalized Exponential Distribution.” Communications in Statistics - Simulation and Computation, 43(8), 1852-1865. [link]

  40. Ancha Xu, Yincai Tang, Qiang Guan. (2014). “Bayesian Analysis of Masked Data in Stepstress Accelerated Life Testing.” Communications in Statistics - Simulation and Computation, 43(8), 2016-2030. [link]

  41. Jie Li, Yanjun Fu, Ancha Xu, Zumu Zhou, Weiming Wang. (2014). “A Spatial-Temporal ARMA Model of the Incidence of Hand, Foot, and Mouth Disease in Wenzhou, China.” Abstract and Applied Analysis, Article ID 238724, 9 pages. [link]

  42. Ancha Xu, Yincai Tang. (2013). “Posterior Propriety in Nonparametric Mixed Effects Model.” Applied Mathematics—A Journal of Chinese Universities, Series B, 28(3), 369-378. [link]

  43. Qiang Guang, Yincai Tang, Ancha Xu. (2013). “Objective Bayesian Analysis For Bivariate Marshall-Olkin Exponential Distribution.” Computational Statistics and Data Analysis, 64(7), 299-313. [link]

  44. Ancha Xu, Yincai Tang. (2012). “An Overview on Statistical Analysis for Masked System Lifetime Data.” Chinese Journal of Applied Probability and Statistics, 28(4), 380-388.

  45. Ancha Xu, Yincai Tang. (2012). “Objective Bayesian Analysis for Linear Degradation Models.” Communications in Statistics – Theory and Methods, 41(21), 4034-4046. [link]

  46. Jiayu Fu, Ancha Xu, Yincai Tang. (2012). “Objective Bayesian Analysis of Pareto Distribution under Progressive Type-II Censoring.” Statistics and Probability Letters, 82(10), 1829-1836. [link]

  47. Ancha Xu, Yincai Tang. (2012). “Statistical Analysis of Competing Failure Modes in Accelerated Life Testing Based on Assumed Copulas.” Chinese Journal of Applied Probability and Statistics, 28(1), 51-62.

  48. Ancha Xu, Yincai Tang. (2011). “Objective Bayesian Analysis of Accelerated Competing Failure Models under Type-I Censoring.” Computational Statistics and Data Analysis, 55(10), 2830-2839. [link]

  49. Ancha Xu, Yincai Tang. (2011). “Bayesian analysis of Birnbaum-Saunders distribution with partial information.” Computational Statistics and Data Analysis, 55(7), 2324-2333. [link]

  50. Ancha Xu, Yincai Tang. (2011). “Nonparametric Bayesian analysis of competing risks problem with masked data.” Communications in Statistics – Theory and Methods, 40(13), 2326-2336. [link]

  51. Ancha Xu, Yincai Tang. (2010). “EM algorithm for degradation data analysis.” Journal of East China Normal University (Natural Science), 5, 38-48.

  52. Ancha Xu, Yincai Tang. (2010). “Reference Analysis for Birnbaum-Saunders Distribution.” Computational Statistics and Data Analysis, 54(1), 185-192. [link]

  53. Ancha Xu, Yincai Tang. (2009). “Bayesian analysis of Pareto reliability with dependent masked data.” IEEE Transactions on Reliability, 58(4), 583-588. [link]

非一作和通讯文章

  1. Qingqing Zhai, Ancha Xu, Jun Yang, Yijing Zhou. (2024). “Statistical modeling and reliability analysis for degradation processes indexed by two scales.” IEEE Transactions on Industrial Informatics, 20(3), 3675-3684. [link]

  2. Weiwen Peng, Yuan Chen, Ancha Xu, Zhisheng Ye. (2024). “Collaborative online RUL prediction of multiple assets with analytically recursive Bayesian inference.” IEEE Transactions on Reliability, 73(1), 506-520. [link]

  3. Gege Hou, Ancha Xu, Fengjing Cai, You-Gan Wang. (2022). “Parameter estimation for univariate skew-normal distribution based on the modified empirical characteristic function.” Communications in Statistics - Theory and Methods, 51(22), 7897-7910. [link]

  4. Shirong Zhou, Ancha Xu, Yongqiang Lian, Yincai Tang. (2021). “Variational Bayesian analysis for Wiener degradation model with random effects.” Communications in Statistics - Theory and Methods, 50(16), 3769-3789. [link]

  5. Wenchen Liu, Yincai Tang, Ancha Xu. (2021). “Zero-and-one-inflated Poisson regression model.” Statistical Papers, 62, 915-934. [link]

  6. Xuan Li, Yincai Tang, Ancha Xu. (2020). “Objective Bayesian analysis of Weibull mixture cure model.” Quality Engineering, 32(3), 449-464. [link]

  7. Xiang Xiao, Yincai Tang, Ancha Xu, Guoqiang Wang. (2020). “Bayesian inference for zero-and-one-inflated geometric distribution regression model using Polya-Gamma latent variables.” Communications in Statistics - Theory and Methods, 49(15), 3730-3743. [link]

  8. Pingping Wang, Yincai Tang, Ancha Xu. (2019). “Bayesian analysis of compound Poisson process with change-point.” Quality Technology & Quantitative Management, 16(3), 297-317. [link]

  9. Qiang Guan, Yincai Tang, Ancha Xu. (2019). “Reference Bayesian analysis of inverse Gaussian degradation process.” Applied Mathematical Modelling, 74, 496-511. [link]

  10. Yincai Tang, Wenchen Liu, Ancha Xu. (2017). “Statistical inference for zero-and-one-inflated Poisson models.” Statistical Theory and Related Fields, 1(2), 216-226. [link]

图书章节

  1. Ancha Xu. (2022). “Bayesian Analysis of a New Bivariate Wiener Degradation Process.” In: Lio, Y., Chen, DG., Ng, H.K.T., Tsai, TR. (eds) Bayesian Inference and Computation in Reliability and Survival Analysis. Emerging Topics in Statistics and Biostatistics, Springer. [link]

  2. Shirong Zhou, Yincai Tang, Ancha Xu, Yongqiang Lian. (2020). “Early Warning Strategy of Sparse Failures for Highly Reliable Products Based on the Bayesian Method.” In: Cui, L., Frenkel I., Lisnianski A.(eds) Stochastic Models in Reliability Engineering, Taylor & Francis Group. [link]