Marginal probability distribution determined by the maximum entropy method

被引：6
|
作者：
Majerník, V [1 ]
机构：
[1] Palacky Univ, Dept Theoret Phys, CZ-77207 Olomouc, Czech Republic
来源：
REPORTS ON MATHEMATICAL PHYSICS | 2000年 / 45卷 / 02期
关键词：
D O I：
10.1016/S0034-4877(00)89030-8
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
We derive a formula for the probability distribution of a random variable if it is statistically dependent on other random variables of a stochastic system supposing that it is in its maximum entropy state. We assume that the conditional probability distribution is given and we use the maximum entropy principle for getting the marginal probability distribution. Such stochastic system may represent, e.g. homogeneous polymer, probabilistic cellular automaton, one-dimensional Ising system, or a string of symbols in communication.
引用
收藏
页码：171 / 181
页数：11
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