论文与著作

目前以第一作者或通讯作者发表论文 62 篇，其中 ESI 高被引论文 6 篇。具体可见我的谷歌学术和Researchgate。

期刊论文 (下划线代表学生)

1. Ancha Xu, Yihang Miu, Jiaxiang Sun, Shirong Zhou, Yincai Tang. (2026+). “A hierarchical Bayesian multivariate Wiener process model with dependent degradation rates and volatilities.” IEEE Transactions on Reliability. DOI: 10.1109/TR.2026.3674703

2. Liangliang Zhuang, Yizhong Ma, Guanqi Fang, Ancha Xu. (2026+). “Modeling two-scale degradation with heterogeneity: a unified random-effects inverse Gaussian framework.” IISE Transactions. DOI: 10.1080/24725854.2026.2631614

3. Liangliang Zhuang, Yizhong Ma, Jianjun Wang, Rong Pan, Ancha Xu. (2026+). “From statistical modeling to AI-integrated inverse Gaussian process: a comprehensive review for prognostics and health management.” Engineering Management.

4. Ancha Xu, Jiahui Liu, Lijia Liu, Mengting Zhong, Weiwei Wang. (2026+). “Joint modeling accelerated life tests and field data for reliability prediction.” Statistical Theory and Related Fields.

5. Ancha Xu, Juan Wang, Di Zhu, Zhen Chen, Yijun Wang. (2026+). “A robust Bayesian framework for degradation state identification in the presence of outliers.” Naval Research Logistics. DOI: 10.1002/nav.70033

6. Hong Yin, Yijun Wang, Ancha Xu. (2026). “Kernel-based marginal testing for covariate effects in high-dimensional settings.” Scandinavian Journal of Statistics, 53(1), 498–531.

7. Ancha Xu, Weiwei Wang. (2026). “Recursive Bayesian prediction of remaining useful life for gamma degradation process under conjugate priors.” Scandinavian Journal of Statistics, 53(1), 175-206.

8. Shirong Zhou, Yincai Tang, Ancha Xu, Xinze Lian, Chunling Luo. (2026). “Efficient Bayesian reliability assessment for step-stress accelerated Wiener degradation model.” Reliability Engineering & System Safety, 265, 111461.

9. Ancha Xu, Renbing Wang, Xinming Weng, Qi Wu, Liangliang Zhuang. (2025). “Strategic integration of adaptive sampling and ensemble techniques in federated learning for aircraft engine remaining useful life prediction.” Applied Soft Computing, 175, 113067.

10. Ancha Xu, Guanqi Fang, Liangliang Zhuang, Cheng Gu. (2025). “A multivariate student-t process model for dependent tail-weighted degradation data.” IISE Transactions, 57(9), 1071-1087.

11. Ancha Xu, Jinyang Wang, Yincai Tang, Piao Chen. (2025). “Efficient online estimation and remaining useful life prediction based on the inverse Gaussian process.” Naval Research Logistics, 72(3), 319-336.

12. Ancha Xu, Binbing Wang, Di Zhu, Jihong Pang, Xinze Lian. (2025). “Bayesian reliability assessment of permanent magnet brake under small sample size.” IEEE Transactions on Reliability, 74(1), 2107-2117.

13. Liangliang Zhuang, Ancha Xu, Guanqi Fang, Yincai Tang. (2025). “Multivariate reparameterized inverse Gaussian processes with common effects for degradation-based reliability prediction.” Journal of Quality Technology, 57(1), 51-67.

14. 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.

15. 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.

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

17. 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.

18. 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.

19. 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.

20. 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.

21. 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.

22. 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.

23. 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.

24. 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.

25. 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.

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

27. 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.

28. 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.

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

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

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

32. 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.

33. 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.

34. 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.

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

36. 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.

37. 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.

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

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

40. 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.

41. 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.

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

43. 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.

44. 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.

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

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

47. 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.

48. 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.

49. 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.

50. 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.

51. 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.

52. 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.

53. 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.

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

55. 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.

56. 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.

57. 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.

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

59. 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.

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

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

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

非一作和通讯文章

1. Di Zhu, Ancha Xu, Ziqi Chen, Shuling Zhu, Guanqi Fang. (2025+). “An online Bayesian framework for identifying latent system degradation states.” IEEE Transactions on Reliability, accepted.

2. Jingye Zhu, Huilin Zeng, Ancha Xu, David Julian McClements, Jianshe Chen, Yong Chen. (2025). Correlating instrumental textural properties to human sensory data using biomimetic molar probes: Case study with hazelnuts, Current Research in Food Science，11, 101171.

3. Zhen Zhao, Zuo Wang, Jingye Zhu, Ancha Xu, David Julian McClements, Jianshe Chen, Yong Chen. (2025). How differences in rice texture and oral physiology affect sensory preference and eating behavior of consumers: A generalized additive models (GAMs) approach, Food Structure, 44, 100418.

4. 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.

5. 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.

6. 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.

7. 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.

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

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

10. 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.

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

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

13. 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.

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.

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.