APPROXIMATING DISCRETE PROBABILITY DISTRIBUTIONS

被引：46

作者：

KU, HH

KULLBACK, S

机构：

[1] National Bureau of Standards

[2] George Washington University, Washington

来源：

IEEE TRANSACTIONS ON INFORMATION THEORY | 1969年 / 15卷 / 04期

关键词：

D O I：

10.1109/TIT.1969.1054336

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The method of minimum discrimination information estimation is applied to the problem of estimating an n-dimensional discrete probability distribution in terms of lower order marginal distributions. The procedure provides a convergent iterative algorithm. The method yields regular best asymptotically normal (RBAN) estimates. The general procedure includes as a particular case that proposed by a method using dependence trees. An example is given. © 1969 IEEE

引用

页码：444 / +

共 9 条

[1]

Brown D. T., 1959, INFORM CONTROL, V4, P386, DOI DOI 10.1016/S0019-9958(59)80016-4

[2] APPROXIMATING DISCRETE PROBABILITY DISTRIBUTIONS WITH DEPENDENCE TREES [J].