BAYESIAN PROBABILITY-THEORY AND INVERSE PROBLEMS

被引：0
|
作者：
KOPEC, S
机构：
来源：
ACTA PHYSICA POLONICA B | 1994年 / 25卷 / 07期
关键词：
D O I：
暂无
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
Bayesian probability theory is applied to approximate solving of the inverse problems. In order to solve the moment problem with the noisy data, the entropic prior is used. The expressions for the solution and its error bounds are presented. When the noise level tends to zero, the Bayesian solution tends to the classic maximum entropy solution in the L1 norm. The way of using spline prior is also shown.
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页码：1099 / 1108
页数：10
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