王占锋






电 话：+86-
邮 件：zfw@ustc.edu.cn
所属单位：统计与金融系

主要研究方向：概率与统计

2003年于中国科学技术大学统计与金融系获得统计学学士学位，2008年于中国科学技术大学统计与金融系获得概率论与数理统计专业理学博士学位。 2008年-2010年台湾中央研究院统计研究所从事博士后工作。2011年2月聘为中国科学技术大学副教授。主要从事统计渐近理论、生物统计等领域的研究，先后在中国科学英文版、Bioinformatics、Statistics and Its Interface、数学学报英文版,应用概率统计和系统科学与复杂性英文版等国内外核心期刊上发表论文多篇。近年来发表论文情况如下：

发表论文：

[01] Wang, Z.,Wu, Y. and Zhao, L. (2007). Change-point estimation for censored regression model. Science in China Series A: Mathematics 50, 63-72.
[02] Wang, Z., Chang, Y., Ying, Z., Zhu, L. and Yang, Y. (2007). A parsimonious threshold-independent protein feature selection method through the area under receiver operating characteristic curve. Bioinformatics 23, 2788-2794.
[03] Wang, Z.,Wu, Y. and Zhao, L. (2008). Nonparametric Inference in a Simple Change-point Model. ACTA Mathematica Sinica-English Series 24, 1483-1496.
[04] Cao, G., Wang, Z.,Wu, Y. and Zhao, L. (2008). Inference of Change-Point in Single Index Models. Science in China Series A: Mathematics 51, 1855-1870.
[05] Gao, Q., Wu, Y., Zhu, C. and Wang, Z. (2008). Asymptotic normality of maximum quasi-likelihood estimators in generalized linear models with fixed design. Journal of Systems Science and Complexity,21, 463-473.
[06] Wu, Y., Liu, C. andWang, Z. (2008). Large sample properties of random weighted estimators for parametric component in semi-parametric regression models. Journal of University of Science and Technology of China, 38, 05-0496-09.
[07] Wu, C., Wang, Z., Liu, L., Zhao, P.,Wang,W., Yao, D., Shi, B., Lu, J., Liao, P., Yang, Y. and Zhu, L. (2009). Surface Enhanced Laser Desorption/Ionization profiling: a new diagnostic method of HBV related hepatocellular carcinoma. Journal of Gastroenterology and Hepatology 24, 55-62.
[08] Wang, Z.,Wu, Y. and Zhao, L. (2009). Approximation by randomly weighting method for linear hypothesis testing in censored regression model. Science in China Series A: Mathematics 52, 561-576.
[09] Feng, Y., Ma, W.,Wang, Z., Ying, Z and Yang, Y. (2009). Alignment of protein mass spectrometry data by integrated Markov chain shifting method. Statistics and Its Interface, 2, 329-340.
[10] Wang, Z.,Wu, Y. and Zhao, L. (2010). A Lasso-type approach to variable selection and estimation for censored regression model. Chinese Journal of Applied Probability and Statistics, 26, 66-80.
[11] Wang, Z. and Chang, Y. (2011). Markers selection via maximizing the partial area under the ROC curve of linear risk scores. Biostatistics. 12, 369-385.
[12] Wang, Z., Tsai, C. and Chang, Y. (2012). Identifying differential gene sets through the linear combination of gene sets that maximizesthe area under the receiver operating characteristic curve. Journal of Proteomics & Bioinformatics, 5, 073-083.
[13] Liu, X.,Wang, Z. and Wu, Y. (2013). Group variable selection and estimation in the tobit censored response model, Computational Statistics and Data Analysis, 60, 80-89.
[14] Wang, Z. and Chang, Y. (2013). Sequential estimate for linear regression models with uncertain number of effective variables. Metrika, In press.