Estimation for hidden Markov random fields

被引：1
|
作者：
Elliott, RJ
Aggoun, L
机构：
[1] UNIV ALBERTA,DEPT MATH SCI,EDMONTON,AB T6G 2G1,CANADA
[2] UNIV AUCKLAND,DEPT STAT,AUCKLAND,NEW ZEALAND
来源：
JOURNAL OF STATISTICAL PLANNING AND INFERENCE | 1996年 / 50卷 / 03期
关键词：
Random field; noisy observation; parameter estimation;
D O I：
10.1016/0378-3758(95)00062-3
中图分类号：
O21 [概率论与数理统计]; C8 [统计学];
学科分类号：
020208 ; 070103 ; 0714 ;
摘要：
A finite state Markov random field is noisily observed via a second finite state process. The parameters of the model are estimated, as well as the most likely signal given the observations.
引用
收藏
页码：343 / 351
页数：9
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