Decisions under uncertainty using Bayesian analysis

Stelian Stancu

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Decisions under uncertainty using Bayesian analysis

机译：使用贝叶斯分析的不确定性下的决策

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The present paper makes a short presentation of the Bayesian decions method, where extrainformation bring a great support to decision making process, but also attract new costs. In this situation, getting new information, generally experimentaly based, contributes to diminushing the uncertainty degree that influences decision making process. As a conclusion, in a large number of decision problems, there is the possibility that the decision makers will renew some decisions already taken because of the facilities offered by obtainig extrainformation.

机译：本文简要介绍了贝叶斯决策方法，其中，外部信息为决策过程提供了强大的支持，同时也吸引了新的成本。在这种情况下，获取新信息（通常基于实验）有助于减少影响决策过程的不确定性程度。结论是，在许多决策问题中，由于获取信息额外信息提供的便利，决策者可能会更新已经做出的某些决策。

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《Informatica Economica》 |2006年第1期|共页
作者
Stelian Stancu;
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中图分类计算技术、计算机技术;
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Decisions under uncertainty using Bayesian analysis

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