期刊文献+

具有多级自适应滤波器的有限元密度估计器(英文)

Finite Element Density Estimator with Multi-stage Adaptive Filters
下载PDF
导出
摘要 基于可能相关并具有某种遍厉性的样本数据,该文设计了一个具有多级自适应滤波器的有限元估计器去估计相应的(平稳)密度函数。数值例了表明了估计器的有效性。同时也讨论了一个有关估计器稳定性的性质。 Based on sample data which may be correlated and have certain ergodic property, a finite element estimator with multi-stage adaptive filters is designed to estimate the associated (stationary) density function. Numerical examples are presented to show the effectiveness of the estimator. Meanwhile, the stability property of the estimator is also discussed.
作者 戴万阳
机构地区 南京大学数学系
出处 《工程数学学报》 CSCD 北大核心 2006年第6期1068-1074,共7页 Chinese Journal of Engineering Mathematics
基金 The National Natural Science Foundation of China(10371053)
关键词 密度估计 有限元插值 自适应滤波 弱收敛 density estimation finite element interpolation adaptive filter weak convergence
  • 相关文献

参考文献8

  • 1Simonoff J S. Smoothing Methods in Statistics[M], Springer Series in Statistics, Spronger-Verlag, 1996
  • 2Dai W. Brownian approximations for queueing networks with finite buffers: modeling, heavy traffic analysis and numerical implementations[D]. Ph.D. Thesis, School of Mathematics, Georgia Institute of Technology, 1996
  • 3Shen X, Chen H, Dai J G, et al. The finite element method for computing the stationary distribution of an SRBM in a hypercube with applications to finite buffer queueing networks[J]. Queueing Systems, 2002,42:33-62
  • 4Donoho D L, Johnstone I M, Kerkyacharian G, et al. Density estimation by wavelet thresholding[J]. Annals of Statistics, 1995,24:508-539
  • 5Kallenberg O. Foundations of Modern Probability[M]. Berlin: Springer, 1997
  • 6Robert C P, Casella G. Monte Carlo Statistical Methods[M]. Berlin: Springer, 1999
  • 7Hall C A, Porsching T A. Numerical Analysis of Partial Differential Equations[M]. New Jersey: PrenticeHall, Englewood Cliffs, 1990
  • 8Royden H L. Real analysis[M]. Third Edition, New York: Macmillan Publishing Company, 1988

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部