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

页码：307 / 314

页数：8

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