JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (11): 54-59.doi: 10.6040/j.issn.1671-9352.0.2017.138
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LI Yong-ming1,2, DENG Shao-jian3, JIANG Wei-hong1
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[1] WEGMAN E J, DAVIES H I. Remarks on some recursive estimators of a probability density[J]. Annals of Statistics, 1979, 7(2):316-327. [2] MASRY E. Recursive probability density estimation for weakly dependent processes[J]. IEEE Transactions on Information Theory, 1986, 32(2):254-267. [3] LIU Y X, NIU S L. Berry-Esseen bounds of recursive kernel estimator of density under strong mixing assumptions[J]. Bulletin of the Korean Mathematical Society, 2017, 54(1):343-358. [4] 李永明, 杨善朝. NA列递归密度核估计的相合性[J]. 应用数学, 2003, 16(1):59-64. LI Yongming, YANG Shanchao. Consistency of recursive kernel estimate of probability density function under negative association[J]. Mathematica Applicata, 2003, 16(1):59-64. [5] 李永明, 杨善朝. NA随机变量的递归密度核估计的渐近正态性[J]. 应用概率统计, 2003, 19(4):383-393. LI Yongming, YANG Shanchao. Asymptotic normality of the recursive kernel estimate of a probability density function under negatively associated[J]. Chinese Journal of Applied Probability and Statistics, 2003, 19(4):383-393. [6] LIANG H Y, BAEK JONG-Il. Asymptotic normality of recursive density estimates under some dependence assumptions[J]. Metrika, 2004, 60(2):155-166. [7] 张冬霞, 梁汉营. 样本的递归密度估计[J]. 应用概率统计, 2008, 24(2):123-134. ZHANG Dongxia, LIANG Hanying. Recursive density estimation of NA samples[J]. Chinese Journal of Applied Probability and Statistics, 2008, 24(2):123-134. [8] LIU L. Precise large deviations for dependent random variables with heavy tails[J]. Statistics and Probability Letters, 2009(9):1290-1298. [9] CHEN Y Q, CHEN A Y, KAI W N. The strong law of large numbers for extended negatively dependent random variables[J]. Journal of Applied Probability, 2010, 47(4):908-922. [10] SHEN A T. Probability inequality for END sequence and their applications[J]. Journal of Inequalities and Applications, 2011, 2011(1):1-12. [11] QIU D H, CHEN P Y, ANTONINI R G, et al. On the complete convergence for arrays of rowwise extended negatively dependent random variables[J]. Journal of the Korean Mathematical Society, 2013, 50(2):379-392. [12] 兰冲锋, 吴群英. END 样本最近邻密度估计的强相合速度[J]. 数学杂志, 2015, 35(3):665-671. LAN Chongfeng, WU Qunying. Rate of strong consstency of nearest neighbor estimator of density function for END samples[J]. Journal of Mathematic, 2015, 35(3):665-671. |
[1] | HU Xue-ping, ZHANG Hong-mei. Convergence properties of the kernel-type density estimator under WOD dependent samples [J]. JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE), 2017, 52(4): 21-25. |
[2] | LI Yong-ming1, DING Li-wang2. The r-th moment consistency of estimators for a semi-parametric regression model for positively associated errors [J]. J4, 2013, 48(1): 83-88. |
[3] | YE Cai-yuan, WU Qun-ying*, WU Xin-ye. Consistency NA samples kernel density estimation for censored data [J]. J4, 2013, 48(09): 40-45. |
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