MAP estimation for hidden discrete 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 1, New Zealand
来源：
STOCHASTIC ANALYSIS AND APPLICATIONS | 1998年 / 16卷 / 01期
基金：
加拿大自然科学与工程研究理事会;
关键词：
D O I：
10.1080/07362999808809518
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
A finite state Markov random field on a lattice is noisily observed via a second finite state process. The problem of estimating the most likely signal given the observations is treated in a relaxed form by introducing probabilities over the possible signals.
引用
收藏
页码：83 / 89
页数：7
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