Collaborative Research on Dependence Assessment for Decision and Risk Analysis

在与罗伯特温克勒的杜克大学合作，这个PI建议开发程序使用Copula的方法，以评估依赖。 这种方法将被应用的情况下，是专家知识的决策者必须考虑一组相互关联的随机变量。 该研究将涉及的数学发展和分析家庭的copula和依赖措施，评估程序的设计，实验室研究，以测试专家的能力，了解程序，计算程序的开发，实地研究与现实世界的知识建模应用程序，以及建设的协议和一般规定性的建议依赖评估。

In collaboration with Robert Winkler of Duke University, this PI proposes to develop procedures using the copula approach in order to assess dependence. The situations in which this approach will be applied are expert knowledge ones in which the decision maker must consider a set of interrelated random variables. The research will involve the mathematical development and analysis of families of copulas and dependence measures, the design of assessment procedures, laboratory studies to test the ability of experts to understand the procedures, development of computational procedures, field studies with real-world knowledge-modeling applications, and the construction of protocols and general prescriptive recommendations for dependence assessment.