文章提出了变异系数未知和已知情况下抗力标准值的贝叶斯推断公式，并予以验证。
In this paper, the bayes predict formula of the resistance characteristic value is put forward in the condition of the coefficient of variation is known or unknown, and an authentication is provided.
本文尝试通过实验进一步考察不完美信息下序贯决策的个体行为是否符合贝叶斯推断。
This paper attempts to study whether sequential individuals' behavior under imperfect information accords with the prediction of the Bayesian Model by doing economic experiments.
处于前后不同决策顺序位置的个体行动选择的分布没有显著差异，他们只能简单地进行一步贝叶斯推断。
The distribution of individuals' behavior in different decision-turns doesn't have significant differences, and they are only able to do the Bayesian calculation in one step simply.
贝叶斯推断中边际似然函数涉及到维数较高的复杂积分的计算，因而精确地计算边际似然函数往往有困难。
In Bayesian reference, marginal likelihood function involve to compute high dimensional complex integrand. So exactly to compute marginal likelihood is often difficult.
评述了应用经典统计学和贝叶斯推断检验资产组合均值方差有效性的文献，提出了这些方法在我国应用-的可能性。
The purpose of this paper is to summary the literatures on tests of portfolio mean-variance efficiency in the framework of classical statistics and Bayesian inference.
本文提出一种动态测试中单次性信号测试数据的贝叶斯推断方法，其中单次性的被测信号和输出信号被认为是随机过程的现实。
The paper presents a kind of bayesian inference of simple signal in dynamic measurement. The simple measured signals and output signals are thought of as realizations of stochastic process.
贝叶斯推理是认知心理学的一个传统论题，人们生活中的许多推断和决策也往往都与贝叶斯推理有关。
Bayesian reasoning is a traditional thesis in cognitive psychology, and a lot of judgment and decision making in our lives can use this method.
贝叶斯推理是认知心理学的一个传统论题，人们生活中的许多推断和决策也往往都与贝叶斯推理有关。
Bayesian reasoning is a traditional thesis in cognitive psychology, and a lot of judgment and decision making in our lives can use this method.
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