Algebraic methods for polynomial statistical models

被引：1
|
作者：
Dinwoodie, IH [1 ]
机构：
[1] Tulane Univ, Dept Math, New Orleans, LA 70118 USA
来源：
STATISTICS AND COMPUTING | 2002年 / 12卷 / 04期
关键词：
EM-algorithm; Grobner basis; identifiability; maximum likelihood; network tomography; sufficient statistic;
D O I：
10.1023/A:1020775726595
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We describe applications of computational algebra to statistical problems of parameter identifiability, sufficiency, and estimation. The methods work for a family of statistical models that includes Poisson and binomial examples in network tomography.
引用
收藏
页码：307 / 314
页数：8
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