Parameter estimation by a Markov chain Monte Carlo technique for the Candy model

被引：1
|
作者：
Descombes, X [1 ]
van Lieshout, MNM [1 ]
Stoica, R [1 ]
Zerubia, J [1 ]
机构：
[1] INRIA, CNRS UNSA INRIA Joint Res Grp, F-06902 Sophia Antipolis, France
来源：
2001 IEEE WORKSHOP ON STATISTICAL SIGNAL PROCESSING PROCEEDINGS | 2001年
关键词：
D O I：
10.1109/SSP.2001.955212
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a parameter estimation method for the Candy model based on Monte Carlo approximation of the likelihood function. In order to produce such an approximation a Metropolis-Hastings style algorithm [3] for simulating the Candy model [10, 11] is introduced.
引用
收藏
页码：22 / 25
页数：4
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