个人简历

王江峰，男，1978年11月出生，博士后，副教授，统计学硕士生导师。2004年3月浙江大学概率统计专业毕业，获硕士学位，2010年6月同济大学数理统计专业博士毕业，2010-2012年在同济大学经济与管理学院做博士后研究。

研究领域

复杂数据下的统计推断

近期论文

[1]. Mei Yao, Jiang-Feng Wang, Lu Lin and Yu-Xin Wang. Variable selection and weighted composite quantile estimation of regression parameters with left-truncated data. Communications in Statistics – Theory and Methods. 2017, Accepted (Corresponding author)
[2]. Hong-Xia Xu, Zhen-Long Chen and Jiang-Feng Wang. Quantile regression and variable selection for partially linear model with randomly truncated data. Statistical Papers. 2017，In press，DOI: 10.1007/s00362-016-0867-3. (SCI)
[3]. Guo-Liang Fan, Zhi-Qiang Jiang and Jiang-Feng Wang. Empirical likelihood for high-dimensional partially linear model with martingale difference errors. Communications in Statistics – Theory and Methods. 2017, 46(22):11228-11242 (SCI) (Corresponding author)
[4]. Lin-Na Zhang, Li-Min Wen, Jiang-Feng Wang and Wei Wang. Evaluation of Individual RBNS Loss Reserving Based on Generalized Linear Model. Acta Mathematicae Applicatae Sinica (Chinese)，2017,40(4): 573-593. (一级)
[5]. Mei Yao, Jiang-Feng Wang and Lu Lin. Asymptotic normality for a non parametric estimator of conditional quantile with left-truncated data. Communications in Statistics – Theory and Methods. 2017, 46(13): 6280-6292. (SCI) (Corresponding author)
[6]. Yi Zhang, Li-Min Wen, Jiang-Feng Wang and Wei Wang. The Credibility Estimation of Accident Year Mean in the Model of Stochastic B-F Reserve. Acta Mathematicae Applicatae Sinica (Chinese)，2016, 39(2): 306-320. (一级)
[7]. Jiang-Feng Wang, Xiao-Min Tian, Hui-Zeng Zhang and Li-Min Wen. Composite quantile regression estimation in non-parametric regression model under left-truncated data. Applied Mathematics A Journal of Chinese Universities (Chinese), 2015, 30: 71-83. (一级)
[8] .Jiang-Feng Wang, Wei-Min Ma, G.uo-Liang Fan and Li-Min Wen. Local linear quantile regression with truncated and dependent data. Statistics and Probability Letters, 2015, 96 (1): 232-240. (SCI)
[9]. Jiang-Feng Wang, Wei-Min Ma, Hui-Zeng Zhang and Li-Min Wen. Asymptotic normality for a local composite quantile regression estimator of regression function with truncated data. Statistics & Probability Letters. 2013，83: 1571-1579. (SCI)
[10]. Guo-Liang Fan, Han-Ying Liang and Jiang-Feng Wang. Statistical inference for partially time-varying coefficient errors-in-variables models. Journal of Statistical Planning and Inference. 2013, 143(3): 505-519. (SCI)
[11]. Jiang-Feng Wang, Han-Ying Liang and Guo-Liang Fan. Local polynomial quasi-
likelihood regression with truncated and dependent data. Statistics. 2013, 47(4): 744-761. (SCI)
[12]. Guo-Liang Fan, Han-Ying Liang and Jiang-Feng Wang. Empirical likelihood for heteroscedastic partially linear errors-in-variables model with a-mixing errors. Statistical Papers. 2013, 54(1): 85-112. (SCI)
[13]. Li-Min Wen, Jiang-Feng Wang and Xian-Yi Wu. A new class of credibility estimators under the generalized weighted premium principle. Communications in Statistics – Theory and Methods. 2013,42(3): 447–465. (SCI)
[14]. Jiang-Feng Wang, Han-Ying Liang and Guo-Liang Fan. Local M-estimation of nonparametric regression with left-truncated and dependent data. Science China, Mathematics, (Chinese), 2012, 42(10): 995-1015. (特级)
[15]. Jiang-Feng Wang and Han-Ying Liang. Asymptotic properties for an M-estimator of regression function with truncation and dependent data. Journal of the Korean Statistical Society.2012,41(3):351-367. (SCI)
[16]. Guo-Liang Fan, Han-Ying Liang and Jiang-Feng Wang. Empirical likelihood for heteroscedastic partial linear errors-in-variables model. Communications in Statistics – Theory and Methods. 2012,41:108-127. (SCI)
[17]. Jiang-Feng Wang, Han-Ying Liang and Guo-Liang Fan. Asymptotic properties of conditional quantile estimator under left truncated and $\\alpha$-mixing conditions. Communications in Statistics – Theory and Methods. 2011, 40: 2462-2486. (SCI)
[18]. Guo-Liang Fan, Han-Ying Liang, Jiang-Feng Wang and Hong-Xia Xu. Asymptotic properties for LS estimators in EV regression model with dependent errors. Advances in Statistical Analysis. 2010,94:89-103 . (SCI)
[19]. Jiang-Feng Wang and Han-Ying Liang. A note on the almost sure central limit theorem for negatively associated fields. Statistics and Probability Letters. 2008, 78: 1964–1970. (SCI)
[20]. Jiang-Feng Wang and Feng-Bin Lu. Inequalities of maximum of partial sums and weak convergence for a class weak dependent random variables. Acta Mathematica Sinica, English Series. 2006, 22(3): 693-700. (SCI)
[21]. Li-Xin Zhang and Jiang-Feng Wang. A note on complete convergence of pairwise
NQD random sequence. Applied Mathematics A Journal of Chinese Universities (Chinese). 2004, 19(2): 203-208. (一级) (Corresponding author)