Analysis of the Effectiveness of an Investment Project Using Statistical Bayesian Networks

M. Voronenko, O. Naumov, L. Naumova, Elzara Topalova, V. Filippova, V. Lytvynenko
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引用次数: 2

Abstract

The article is devoted to the use of Bayesian networks to analyze the effectiveness of an investment project in the national economy. The paper shows that Bayesian networks (BN) allow us to identify the probabilistic dependencies of the structure of economic indicators of the enterprise, which can be analyzed in more detail using observations and sensitivity analysis of BN. This study shows how the multidimensional nature of the relationship between economic, financial and investment indicators can be used as a decision support tool for investors in formulating strategic recommendations to improve the efficiency of investment investments.
基于统计贝叶斯网络的投资项目有效性分析
本文致力于利用贝叶斯网络来分析投资项目在国民经济中的有效性。本文表明,贝叶斯网络(BN)允许我们识别企业经济指标结构的概率依赖关系,可以通过观察和BN的敏感性分析更详细地分析。本研究展示了经济、金融和投资指标之间关系的多维性如何被用作投资者制定战略建议以提高投资效率的决策支持工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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