蔡敬衡

  邮箱：caijheng[at]mail.sysu.edu.cn

科研论文

1. Cai, J. H.* and Xu, X. L. (2024) Bayesian analysis of mixtures with Yeo-Johnson transformation. Communications in Statistics - Theory and Methods, 53 (18), 6600-6613. https://doi.org/10.1080/03610926.2023.2248326

2. He, H. J., Cai, J. H. and Song, X. Y. (2024) Regression analysis of partially linear transformed mean residual life models. Electronic Journal of Statistics, 18 (1), 77-118. https://doi.org/10.1214/23-EJS2195

3. 蔡敬衡*, 王若宁. (2023) 加速失效时间模型的贝叶斯参数估计和变量选择. 应用概率统计, 39 (6), 849-858. https://doi.org/10.3969/j.issn.1001-4268.2023.06.005

4. Lin, Y. G., Wang, D. G., Meng, Y., Sun, W. Qiu, J. X., Shuangguan, W., Cai, J. H., Kim, Y. and Dai, Y. J. (2023) Bias learning improves data driven models for streamflow prediction. Journal of Hydrology: Regional Studies, 50:101557. https://doi.org/10.1016/j.ejrh.2023.101557

5. Liu, Y. Y., Wu, Y. J., Cai, J. H., Huang, Y., Chen, Y. T., Venkatraman, T. M., Lobanov-Rostovsky, S., Bandosz, P., Yang, Y. J., Wu, Y. T., Liao, J., Hao, Y. T. and Brunner, E. J. (2022) Is there a common latent cognitive construct for dementia estimation across two Chinese cohorts? Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring, 14 (1): e12356. https://doi.org/10.1002/dad2.12356

6. Du, Y., Wang, D. G., Zhu, J. X., Wang, D. Y., Qi, X. Q. and Cai, J. H. (2022) Comprehensive assessment of CMIP5 and CMIP6 models in simulating and projecting precipitation over the global land. International Journal of Climatology, 42 (13), 6859-6875. https://doi.org/10.1002/joc.7616

7. Liang, C. Y. and Cai, J. H.* (2020) Bayesian variable selection and estimation in joint confirmatory factor analysis--Cox model. Statistics and Its Interface, 13 (1), 49-63. https://doi.org/10.4310/SII.2020.v13.n1.a5

8. Cai, J. H., Liang, Z. B., Sun, R. Q., Liang, C. Y. and Pan, J. H. (2019) Bayesian analysis of latent Markov models with non-ignorable missing data. Journal of Applied Statistics, 46 (13), 2299-2313. https://doi.org/10.1080/02664763.2019.1584162

9. Cai, J. H.* and Liang, C. Y. (2019) Bayesian analysis of semi-parametric Cox models with latent variables. Statistical Methods in Medical Research, 28 (7), 2150-2164. https://doi.org/10.1177/0962280217751520

10. Kang, K, Cai, J. H., Song, X. Y. and Zhu, H. T. (2019) Bayesian hidden Markov models for delineating the pathology of Alzheimer’s disease. Statistical Methods in Medical Research, 28 (7), 2112-2124. https://doi.org/10.1177/0962280217748675

11. Lin, H. T., Long, E. P., Ding, X. H., Diao, H. X., Chen, Z. C., Liu, R. Z., Huang, J. L., Cai, J. H., Xu, S. J., Zhang, X. Y. Wang, D. N., Chen, K. X., Yu, T. Y., Wu, D. X., Zhao, X. T., Liu, Z. Z., Wu, X. H., Jiang, Y. Z., Yang, X., Cui, D. M., Liu, W. Y., Zheng, Y. F., Luo, L. X., Wang, H. B., Chan, C. C., Morgan, I. G., He, M. G. and Liu, Y. Z. (2018) Prediction of myopia development among Chinese school-aged children using refraction data from electronic medical records: A retrospective, multicentre machine learning study. PLOS Medicine, 15 (11): e1002674. https://doi.org/10.1371/journal.pmed.1002674

12. Yeung, R. O., Cai, J. H., Zhang, Y. Y. Luk, A. O., Pan, J. H., Yin, J. M., Ozaki, R., Kong, A. P. S., Ma, R. C. W., So, W. Y., Tsang, C. C., Lau, K. P., Fisher, E., Goggins, W., Oldenburg, B. and Chan, J. C. N. (2018) Determinants of hospitalization in Chinese patients with type 2 diabetes receiving a peer support intervention and JADE integrated care: the PEARL randomised controlled trial. Clinical Diabetes and Endocrinology, 4:5. https://doi.org/10.1186/s40842-018-0055-6

13. Cai, J. H., Ouyang, M., Kang, K. and Song, X. Y. (2018) Bayesian diagnostics of hidden Markov structural equation models with missing data. Multivariate Behavioral Research, 53 (2), 151-171. https://doi.org//10.1080/00273171.2017.1407233

14. Song, X. Y., Kang, K., Ouyang, M., Jiang, X. J. and Cai, J. H.* (2018) Bayesian analysis of semiparametric hidden Markov models with latent variables. Structural Equation Modeling: A Multidisciplinary Journal, 25 (1), 1-20. https://doi.org//10.1080/10705511.2017.1364968

15. Cai, J. H., He, H. J., Song, X. Y. and Sun, L. Q. (2017) An additive-multiplicative mean residual life model for right-censored data. Biometrical Journal, 59 (3), 579-592. https://doi.org//10.1002/bimj.201600068

16. Long, E. P., Xu, S. J., Liu, Z. Z., Wu, X. H., Zhang, X. Y., Wang, J. H., Li, W. T., Liu, R. Z., Chen, Z. C., Chen, K. X., Yu, T. Y., Wu, D. X., Zhao, X. T., Chen, J. J., Lin, Z. L., Cao, Q. Z., Lin, D. R., Cai, J. H.* and Lin H. T.* (2017) Construction and implications of structural equation modeling network for pediatric cataract: a data mining research of rare diseases. BMC Ophthalmology, 17:74. https://doi.org//10.1186/s12886-017-0468-5

17. He, H. J., Cai, J. H., Song, X. Y. and Sun, L. Q. (2017) Analysis of proportional mean residual life model with latent variables. Statistics in Medicine, 36 (5), 813-826. https://doi.org//10.1002/sim.7174

18. Song, X. Y., Pan, D., Liu, P. F. and Cai, J. H.* (2016) Bayesian analysis of transformation latent variable models with multivariate censored data. Statistical Methods in Medical Research, 25 (5), 2337-2358. https://doi.org//10.1177/0962280214522786

19. Sun, Z. X., Zhai, Y. F., Zhang, J. Q., Kang, K., Cai, J. H., Fu, Y. G., Qiu, J. Q., Shen, J. W. and Zhang, W Q. (2015) The genetic basis of population fecundity prediction across multiple field populations of Nilaparvata lugens. Molecular Ecology, 24 (4), 771-784. https://doi.org//10.1111/mec.13069

20. Song, X. Y., Cai, J. H.*, Feng, X. N. and Jiang, X. J. (2014) Bayesian analysis of functional-coefficient autoregressive heteroscedastic model. Bayesian Analysis, 9 (2), 371-396. https://doi.org//10.1214/14-ba865

21. Song, X. Y., Lu, Z. H, Cai, J. H.* and Ip, E. H. S. (2013) A Bayesian modeling approach for generalized semiparametric structural equation models. Psychometrika, 78 (4), 624-647. https://doi.org//10.1007/s11336-013-9323-7

22. Guo, X., Yang, X. F., Yang, Y., Hans, R., Cai, J. H., Xue, J. Y., Tan, X. H., Xie, X. P., Xiong, X. K. and Huang, J. M. (2012) Prediction of ocular irritancy of 26 chemicals and 26 cosmetic products with isolated rabbit eye (IRE) test. Biomedical and Environmental Sciences, 25 (3), 359-366. https://doi.org//10.3967/0895-3988.2012.03.015

23. Wu, D. R., Cai, Y. F., Cai, J. X., Liu, Q. L., Zhao, Y. Q., Cai, J. H., Zhao, M., Huang, Y. H., Ye, L., Lu, Y. B. and Guo, X. P. (2012) Comparative effectiveness research on patients with acute ischemic stroke using Markov decision processes. BMC Medical Research Methodology, 12:23. https://doi.org//10.1186/1471-2288-12-23

24. Cai, J. H., Song, X. Y., Lam, K. H. and Ip, E. H. S. (2011) A mixture of generalized latent variable models for mixed mode and heterogeneous data. Computational Statistics and Data Analysis, 55 (11), 2889-2907. https://doi.org//10.1016/j.csda.2011.05.011

25. Cai, J. H., Song, X. Y. and Hser, Y. I. (2010) A Bayesian analysis of mixture structural equation models with non-ignorable missing response and covariates. Statistics in Medicine, 29 (18), 1861-1874. https://doi.org//10.1002/sim.3915.

26. Cai, J. H. and Song, X. Y. (2010) Bayesian analysis of mixtures in structural equation models with nonignorable missing data. British Journal of Mathematical and Statistical Psychology, 63 (3), 491-508. https://doi.org//10.1348/000711009x475187

27. Lee, S. Y., Song, X. Y. and Cai, J. H. (2010) A Bayesian approach for nonlinear structural equation models with dichotomous variables using logit and probit links. Structural Equation Modeling: A Multidisciplinary Journal, 17 (2), 280-302. https://doi.org//10.1080/10705511003659425

28. Yang, Y., Yang, X. F., Zhang, W. G., Cai, J. H., Xue, J. Y., Yang, G. Y., Tian, X. H., Xie, X. H., Xie, X. P., Xiong, X. K., Huang, J. M. and Guo, X. (2010) Combined in vitro tests as an alternative to in vivo eye irritation tests. ATLA-Alternatives to Laboratory Animals, 38 (4), 303-314.

29. Song, X. Y., Lee, S. Y., Ma, R. C. W., So, W. Y., Cai, J. H., Tam, C., Lam, V., Ying, W., Ng, M. C. Y. and Chan, J. C. N. (2009) Phenotype-genotype interactions on renal function in type 2 diabetes: an analysis using structural equation modeling. Diabetologia, 52 (8), 1543-1553. https://doi.org//10.1007/s00125-009-1400-1

30. Lee, S. Y., Song, X. Y., Cai, J. H., So, W. Y., Ma, R. C. W. and Chan, J. C. N. (2009) Non-linear structural equation models with correlated continuous and discrete data. British Journal of Mathematical and Statistical Psychology, 62 (2), 327-347. https://doi.org//10.1348/000711008X292343

31. Cai, J. H., Song, X. Y. and Lee, S. Y. (2008) Bayesian analysis of nonlinear structural equation models with mixed continuous, ordered and unordered categorical, and nonignorable missing data. Statistics and Its Interface, 1 (1), 99-114. https://doi.org//10.4310/sii.2008.v1.n1.a9