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10. Lin,J. G.* & Qu, X. Y.. A consistent test for heteroscedasticity in semiparametric regression with nonparametric variance function based on the kernel method. Statistics (统计学，SCI期刊),46(5), pp:565- 576,2012.
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12.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 (计算统计与数据分析，SCI期刊), 56(2), pp: 438-448, 2012.
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21.Yan, F. R. & Lin, J. G.*. Empirical Likelihood Estimation for Population Pharmacokinetic Study Based on Generalized Linear Model. Journal of Applied Mathematics(SCI期刊), 2012, pp:1-13,2012.
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26.Yang, Y., Leipus, R. and Siaulys. J., 2012. Tail Probability of randomly weighted sums of subexponential random variables under a dependence structure. Statistics and Probability Letters, 82, 1727-1736 (SCI收录).
27.Yang, Y., Leipus, R. and Siaulys. J., 2012. Precise large deviations for compound random sums in the presence of dependence structures. Computers and Mathematics with Applications, 64, 2074-2083 (SCI收录).
28.Yang, Y., Leipus, R. and Siaulys. J., 2012. On the ruin probability in a dependent discrete time risk model with insurance and financial risks. Journal of Computational and Applied Mathematics, 236, 3286-3295 (SCI收录).
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42.刘广应,张新生.带跳的Gauss积分过程幂变差的渐近行为.数学年刊, 33(2): 247-260, 2012
43.Liu, J., Yan, L., & Cang, Y. (2012). On a jump-type stochastic fractional partial differential equation with fractional noises. Nonlinear Analysis: Theory, Methods & Applications, 75(16), 6060-6070.
44.Liu, J., & Yan, L. (2012). Remarks on asymptotic behavior of weighted quadratic variation of subfractional Brownian motion. Journal of the Korean Statistical Society, 41(2), 177-187.
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54.马昕，郭静，孙啸*，蛋白质中RNA-结合残基预测的随机森林模型，东南大学学报（自然科学版），42(1)，50-54，2012. (EI)
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56. Haisong Deng, Wenze Shao, Yizhong Ma, Zhihui Wei. Bayesian Metamodeling for Computer Experiments Using the Gaussian Kriging Models.Quality and Reliability Engineering International, 2012, 28(4): 455–466. (SCI)
57.Haisong Deng, Yizhong Ma, Wenze Shao, Yiliu Tu. A Bayesian Metamodeling Approach for Gaussian Stochastic Process Models Using a Noninformative Prior. Communications in Statistics: Theory and Method, 2012, 41(5): 829-850. (SCI)
58.Haisong Deng, Wenze Shao, Yizhong Ma. A Bayesian Approach to Kriging Metamodeling for Computer Experiments. Journal of Advanced Mechanical Design, System and Manufacturing, 2012, 6(4): 404-419. (SCI)
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66.Su Xiaonan, Wang Wensheng, Kyo-Shin Hwang, Risk-minimizing option pricing under a Markov-modulated jump-diffusion model with stochastic volatility. Statistics and Probability Letters, 82, 10, 1777-1785, 2012.
67.Wang, H.*, Wang, J. and Huang, B., Prediction for Spatiotemporal Models with Autoregression in Errors, Journal of Nonparametric Statistics, 24(1), 217-244, 2012.（SCI）
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