Fifth Purdue International Symposium on Statistical DecisionTheory, West Lafayette, Indiana, June 14-20, 1992

第五届普渡统计决策理论国际研讨会，印第安纳州西拉斐特，1992 年 6 月 14-20 日

• 批准号: 9118808
• 负责人: Shanti Gupta
• 金额: $ 1.6万
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1992
• 资助国家: 美国
• 起止时间: 1992-02-15 至 1993-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9118808&HistoricalAwards=false
• 关键词: Fifth; Purdue; International; Symposium; Statistical

Statistical decision theory attempts to provide a formal approach to decision making and statistical inference by asking that explicit numerical criteria be given and that the merits of a statistical procedure or decision be assessed by these criteria. Since its introduction in the 1940's, decision theory has served as a unifying force for apparently diverse branches of statistics. Its unifying nature is continually being rediscovered; for instance, a large body of recent work on function estimation has been found to be intimately related to classical minimax theory. Decision theory has also provided the basis for much of the foundational development in statistics. It also has a very practical side, and is increasingly being used in the modeling and analysis of real decision problems in business, economics, medicine, law, reliability and quality control, risk assessment, and numerous other fields. This project will support the Fifth Purdue International Symposium on Statistical Decision Theory and Related Topics to be held from June 14-20, 1992 at Purdue University. The broad topics chosen for this symposium include classical subjects within or related to decision theory, such as admissibility/minimaxity/invariance, sequential analysis, hierarchical and empirical Bayes analysis, multiple decision theory, optimal designs, and model selection. Newer topics will be included such as decision-theoretic function estimation, information/complexity, semiparametric models and adaptive methods, neural nets/influence diagrams/graphical structures, multiple prior/utility problems, computational Bayesian developments, and decision-theoretic aspects of noninformative priors, as well as a wide variety of applied problems in decision theory. Previous symposia in this series on decision theory and related topics were held in 1961, 1970, 1976, 1981, and 1986.

统计决策理论试图提供一个正式的 决策和统计推理的方法 明确的数字标准，并指出，优点 一个统计程序或决定由这些评估 的搜索. 自20世纪40年代引入决策理论以来， 作为一个统一的力量，显然不同的分支， 统计 它的统一性是不断地 重新发现;例如，最近的大量工作， 已经发现功能估计与 经典极大极小理论 决策理论还提供了 这是统计学基础发展的基础。 它 也有非常实用的一面，并且越来越多地被用于 商业中真实的决策问题的建模和分析， 经济学，医学，法律，可靠性和质量控制，风险 评估，以及许多其他领域。 该项目将支持第五届普渡国际 统计决策理论及相关专题研讨会 1992年6月14日至20日在普渡大学举行。 广大 这次研讨会的主题包括古典主题 在决策理论中或与决策理论相关，例如 容许性/极大极小性/不变性，序贯分析， 分层经验贝叶斯分析，多重决策 理论、优化设计和模型选择。 较新的主题将 包括决策理论函数估计等， 信息/复杂性，半参数模型和自适应 方法，神经网络/影响图/图形结构， 多重先验/效用问题，计算贝叶斯 发展和决策理论方面的非信息 先验知识，以及决策中的各种应用问题 理论 本系列中关于决策理论和 1961年、1970年、1976年、1981年和1986年举行了有关专题的会议。