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[1] Chen, P. *, Yang, J. and Li, L.Y. Synthetic Detection of Change Point and Outliers in Bilinear Time Series Models,International Journal of Systems Science, 46(2), 284-293, 2015(SCI)
[2] Chen,P., Dong,L. , Chen, W.Y. and Lin,J.G. *Outlier Detection in Adaptive Functional-Coefficient Autoregressive Models Based on Extreme Value Theory, Mathematical Problems in Engineering,Volume 2013, Article ID 910828, 9 pages, 2013 (SCI)
[3] Chen,P., Li,L., Liu,Y. and Lin,J.G. *Detection of outliers and patches in bilinear time series models, Mathematical Problems in Engineering, Volume 2010, Article ID 580583, 10 pages, 2010 (SCI)
[4] 陈平*,徐若曦、Metropolis-Hastings自适应算法及其应用,系统工程理论与实践, 第28卷,第1期, 100-108,2008 (EI)
[5] 陈平*,陈钧、 ARMAX时间序列模型异常点及异常点斑片的估计和检测,系统科学与数学,第30卷,第10期,1323-1333,2010
[6]Chen, Ping. Estimators and some behaviors for a partially linear model with censored data.Acta Mathematica Scientia, 1999, 19(3), 321-331(SCI)
[7] Chen, P.* Estimation and Detection of Outliers and Patches in Nonlinear Time Series Models. Proceedings in Computational Statistics 2010.Paris-France,August 22-27,2010
[8] 陈平*, 王成震,周俊,刘萍. 运用SAS软件对上证指数月线数据的综合预测分析,系统工程理论与实践, 第23卷,第6期,36-41,2003 (EI)
[9] 陈平*,达庆利. 运用SAS软件系统对我国农作物受灾及成灾面积的预测分析,系统工程理论与实践,第21卷,第4期,141-144, 2001
[10] Chen, Ping. Some nonparametric estimators and their properties under the competing riskscase.Sankhy:The Indian Journal of Statistics, Series A, 1998,60(2),293-304.
[11] Chen, Ping. Nonparametric Bayesian estimation of survival function: Analysis of data on 289 patients of old myocardial infarction. Sankhy:The Indian Journal of statistics, Series B, 1997, 59(3),313-325.
[12]Chen, Ping. Limit properties of PL-type estimator under competing risks case. Sankhy: The Indian Journal of Statistics, Series A, 1996,58(2),264-272.
[13] Chen, P. *, Yan F R, Wu Y Y,and Chen,Y.Detection of Outliers in ARMAX Time Series Models. Advances in Systems Science and Applications,9(1), 97-103, 2009
[14] 陈平. 相依竞争风险场合下生存函数的广义自相合估计,系统科学与数学, 1989, 9(3),260-273.
[15] 陈平. 随机删失场合回归函数的核估计及强相合性,系统科学与数学, 1992, 12(4), 350-355.
[16] 陈平, 达庆利. 失业保险方案优化实施的Bayes决策, 系统工程学报,2000, 15(3), 217-222.
[17] 陈平,达庆利. 运用SAS软件系统对我国农作物受灾及成灾面积的预测分析,系统工程理论与实践,2001,21(4), 141-144.
[18] 陈平, 达庆利. 我国农作物受灾及成灾面积的综合预测分析, 应用概率统计, 2000, 16(3),329-332.
[19] 陈平. 基于不完全观测的生存函数的非参数估计,应用概率统计, 1992,8(4), 337-342.
[20]Chen, Ping. Some large sample results for nonparametric estimators under the competing risks case.应用概率统计, 1999, 15(1), 14-18.
[21] Chen, Ping. Weak convergence and bootstrap of bivariate product limit estimators under the bivariate competing risks case. 数学研究与评论,1993, 13(4),491-498.
[22] 陈平. 双边删失场合生存函数的非参数Bayes 估计的弱收敛性, 应用数学, 1994, 7(3), 337-342.
[23] 陈平. 竞争风险场合PL型估计的弱一致收敛性,应用数学, 2002, 15(3), 89-94.
[24] 陈平. 可能有多个变点的模型的统计推断,生物数学学报, 1993, 8(3),83-87.
[25] 陈平. 多变点模型的检验和估计及其性质,生物数学学报, 1997, 12(4),357-361.
[26] 欧红霞,李乐加,陈平 (等). 抑郁症临床症状与P300的相关研究.中华神经精神科杂志,1995, 28(6), 343-345.
[27] 陈平(等). 大气污染与肺癌关系的岭回归分析,环境与健康杂志, 1993, 10(5), 201-204.
[28] Chen, Ping. Nonparametric estimation of bivariate survival function under the competing risks case.Journal of Southeast University, 1992, 8(2), 100-108.
[29] 陈平. 删失数据的回归函数的随机窗宽核估计,东南大学学报, 1992, 22(1), 89-94.
[30] 陈平. 竞争风险场合二元生存函数的PL估计,东南大学学报, 1992, 22(6), 51-56.
[31] 陈平. 相依竞争风险场合密度函数的核估计,东南大学学报, 1993, 23(1), 113-117.
[32] 陈平, 温书. 抑郁症临床症状与事件相关电位的相关性统计分析, 数理统计与管理, 2000, 19(6), 48-50.
[33] 温书, 陈平, 达庆利. 我国洪涝灾害受灾及成灾面积的预测分析,生物数学学报, 2000, 15(4), 452-456.
[34] 温书, 陈平, 王成永,欧红霞. 抑郁症患者脑及颈动脉血流速度的统计分析, 镇江医学院学报, 2000,10(4), 641-643.
[35] 张宁,欧红霞,陈平, 张心保. 精神分裂症患者利培酮治疗前后认知功能的研究,中国神经精神疾病杂志,2000, 26(2), 100-101.
[36] 欧红霞,陈平, 张宁. 抑郁症患者的认知功能初步研究,中国心理卫生杂志,2001, 15(5), 340-342.
[37] 刘萍,陈平. 竞争风险场合PL型估计的渐近正态性, 东南大学学报, 2001, 31(6), 108-112.
[38] Chen, Ping.Bayesian method of macroeconomical decision.Journal of Southeast University, 1994, 10(2), 26-32.
[39] 陈平. 宏观经济决策的Bayes方法,东南大学学报,1994, 24(2),66-70.
[40] 陈平. 指数分布场合下恒定应力加速寿命试验的Bayes估计,数理统计与应用概率,1988, 3(3),353-359.
[41] 陈平. 袖珍电脑在医学科学研究中的应用,徐州医学院学报,1984, 4(2),58-65.
[42] 陈平(等). 胃癌高发区流行因素分析,中华流行病学杂志,1986, 7(6),340-342.
[43] 刘萍,张松林,陈平. 运用SAS软件系统对上证综合指数的预测分析, 数学的实践与认识,2001, 31(6), 660-663.
[44] 欧红霞,陈平,郭苏皖,徐捷,李乐加. 抑郁症、焦虑症、强迫症患者睡眠脑电图及P300的比较.中华精神科杂志,2005,38(2),109-112.
[45] 来鹏,陈平. 基于遗传算法的时序混合模型的参数估计. 山西师范大学学报,2004,18(3), 12-19.
[46] 孙宏义,陈平,朱梅,陈建丽. 股票指数的时间序列模型分析. 数学的实践与认识,2006,36(8), 52-58.
[47] 陈平. 竞争风险场合PL型估计的强一致收敛性,应用数学, 2007, 20(2), 292-300.
[48] Chen P,Chen Y. The Identification of Outliers in ARMAX Models via Genetic
Algorithm.Advances in Systems Science and Applications ,2012,12(4):399~405.
[49] 田玉柱, 陈平. FAR模型几个异常点诊断统计量的渐进分布,重庆工学院学报, 2007,21(12), 61-67.
[50] 李林元,陈平. .A Note on Weighted Invariance Principle,应用概率统计,2009,25(5),519-530.
[51] Chen, Ping and Xu, Zhiping. Detection of Outlier Patches in ARMAX Model Besed on State Space Model.
The Proceedings of 2010 International Conference on Probability and Statistics of the International
Institute for General Systems Studies(IIGSS-CPS2010). Nanjing-China, July 29-31, 2010
[52] 田玉柱,田茂再,陈平. 数据分组和右删失下混合广义指数分布的参数估计,应用概率统计, 28(6), 561-571, 2012.
[53] 陈平,许罗俊. 相依竞争风险场合下生存函数的非参数Bayes估计及实例分析,数理统计与应用概率,1991, 6(2),162-169.