热点话题人物,欢迎提交收录!
最优雅的名人百科,欢迎向我们提交收录。
曹春正
2023-05-11 20:39
  • 曹春正
  • 曹春正 - 教授-南京信息工程大学-数学与统计学院-个人资料

近期热点

资料介绍

个人简历


教育经历
1996年-2000年,南京师范大学,数学系,本科/学士;
2003年-2006年,东南大学,数学系,研究生/硕士,概率统计方向;
2008年-2012年,东南大学,数学系,研究生/博士,概率统计方向。
工作经历
2000年至今,南京信息工程大学,数学与统计学院,教师;
2010年8月-2011年2月,英国西苏格兰大学,访问学者;
2015年3月-2015年8月,英国纽卡斯尔大学,访问学者;
2016年3月-2017年2月,韩国首尔大学,博士后

研究领域


统计诊断及稳健统计分析,统计学习,函数型数据分析,医学、气象、经济学中的复杂数据建模及分析。

近期论文


(1) Jin, S. B and Cao, C. Z.*. Selecting polychoric instrumental variables in confirmatory factor analysis: An alternative specification test and effects of instrumental variables. British Journal of Mathematical and Statistical Psychology. 71(2), 387-413, 2018.
(2) Cao, C. Z., Shi, J. Q. and Lee, Y*. Robust functional regression model for marginal mean and subject-specific inferences. Statistical Methods in Medical Research. 27(11), 3236-3254, 2018.
(3) Cao, C. Z.*, Wang, Y. H., Shi, J. Q. and Lin, J. G. Measurement error models for replicated data under asymmetric heavy-tailed distributions. Computational Economics. 52(2), 531-553, 2018.
(4) Cao, C. Z.*, Chen, M. Q., Wang, Y. H. and Shi, J. Q. Heteroscedastic replicated measurement error models under asymmetric heavy-tailed distributions, Computational Statistics. 33(1), 319-338, 2018.
(5) Cao, C. Z.*, Chen, M. Q., Ren, Y. Q. and Xu, Y. Robust replicated heteroscedastic measurement error model using heavy-tailed distribution. Communications in Statistics-Simulation and Computation. 47(6), 1771-1784, 2018.
(6) Cao, C. Z.*, Chen, M. Q., Zhu X. X. and Jin S. B. Bayesian inference in a heteroscedastic replicated measurement error model using heavy-tailed distributions. Journal of Statistical Computation and Simulation. 87(15): 2915-2928, 2017.
(7) Cao, C. Z.*, Lin, J. G., Shi, J. Q. et al., Multivariate measurement error models for replicated data under heavy-tailed distributions. Journal of Chemometrics. 29(8): 457-466, 2015.
(8) Cao, C. Z.*, Lin, J. G. and Shi, J. Q. Diagnostics on nonlinear model with scale mixtures of skew-normal and first-order autoregressive errors. Statistics. 48(5): 1033-1047, 2014.
(9) Zhu, X. X.*, Zhu, B. and Cao, C. Z.. Diagnostics for linear model with first-order autoregressive symmetrical errors. Communication in Statistics-Theory and Methods. 42(13): 2335-2350, 2013.
(10) Lin, J. G.* and Cao, C. Z. On estimation of measurement error models with replication under heavy-tailed distributions. Computational Statistics. 28(2): 809-829, 2013.
(11) Cao, C. Z.*, Lin, J. G. and Zhu X. X. On estimation of a heteroscedastic measurement error model under heavy-tailed distributions. Computational Statistics and Data Analysis. 56(2): 438-448. 2012.
(12) Cao, C. Z.* and Lin, J. G. Heteroscedasticity and/or autocorrelation checks in longitudinal nonlinear models with elliptical and AR(1) errors. Acta Mathematicae Applicatae Sinica (English Series). 28(1): 49-62. 2012.
(13) Cao, C. Z. and Lin, J. G.* Diagnostics for elliptical linear mixed models with first-order autoregressive errors. Journal of Statistical Computation and Simulation. 81(10): 1281-1296. 2011.
(14) Lin, J. G.*, Zhu, L. X., Cao, C. Z. and Li, Y. Tests of heteroscedasticity and correlation in multivariate t regression models with AR and ARMA errors. Journal of Applied Statistics. 38(7): 1509-1531. 2011.
(15) Cao, C. Z., Lin, J. G.* and Zhu, L. X. Heteroscedasticity and/or autocorrelation diagnostics in nonlinear models with AR(1) and symmetrical errors. Statistical Papers. 51(4): 813-836. 2010.
(16) Cao, C. Z.* and Zhu, X. X. A structural errors-in-variables model with heteroscedastic measurement errors under heavy-tailed distributions. 2011 Fourth International Conference on Information and Computing. 2011.
(17) Cao, C. Z.* Diagnostics for linear models with first-order autoregressive symmetrical Errors. The Proceedings of 2010 International Conference on Application of Mathematics and Physics. 2010.
(18) Cao, C. Z.* Estimation of an errors-in-variables model with replication under heavy-tailed distributions. The Proceedings of 2010 International Conference on Probability and Statistics of the International Institute for General Systems Studies. 2010.

相关热点

扫码添加好友