Many Strong Limit Theorems for Hidden Markov Models on a Non-homogeneous Tree

被引：0

作者：

Jin, Shaohua ^{[1
]}

Lv, Jie ^{[1
]}

Fan, Zhenyao ^{[2
]}

Sun, Shuguang ^{[1
]}

Zhang, Yanmin ^{[1
]}

机构：

[1] Hebei Univ Technol, Tianjin 300130, Peoples R China

[2] Tangshan Coll, Tangshan 063000, Peoples R China

来源：

ADVANCED TECHNOLOGY IN TEACHING - PROCEEDINGS OF THE 2009 3RD INTERNATIONAL CONFERENCE ON TEACHING AND COMPUTATIONAL SCIENCE (WTCS 2009), VOL 1: INTELLIGENT UBIQUITIOUS COMPUTING AND EDUCATION | 2012年 / 116卷

关键词：

Markov models; martingale; non-homogeneous tree; random selection; strong limit theorem;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The strong limit theorems is one of the central questions for studying in the International Probability theory. In this paper, some strong limit theorems of random selection System for hidden Markov models indexed by a non-homogeneous tree were obtained by constructing a martingale difference series and using the martingale difference sequences convergence theorem.

引用

页码：331 / +

页数：2