文档介绍：: .
are related to income
and marital status. Secondly, The Bayesian network is used to estimate the distribution probability of the
discrete variables, and it is found that the expected income has a great influence on the conditional probability
distribution of happiness. Finally, based on the study of happiness Bayesian study, adding a prior information,
probabilistic inference of its happiness, and exploring the influence of each node on happiness, that the impact
of the expected income and marital status are the most obvious is pointed out in this paper.
Key Words: Bayesian Network，Conditional Independence，Happiness
II北京林业大学本科毕业论文
目录
一 绪论............................................................................................................................................................ 1
（一）研究背景.......................................................................................................................................... 1
（二）文献综述.......................................................................................................................................... 1
1 幸福悖论的提出及验证...................................................................................................................... 1
2 幸福感的影响因素研究...................................................................................................................... 2
3 幸福感的研究理论与方法.................................................................................................................. 2
（三）研究目的及视角.............................................................................................................................. 4
（四）研究内容.............................................................................