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

统计决策理论试图为决策和统计推理提供一种正式的方法，要求给出明确的数字标准，并要求用这些标准来评估统计程序或决定的优点。自20世纪40年代S提出以来，决策理论一直是统计学中明显不同的分支的统一力量。它的统一性不断被重新发现；例如，最近关于函数估计的大量工作被发现与经典的极大极小理论密切相关。决策理论也为统计学的许多基础发展提供了基础。它也有非常实用的一面，越来越多地被用于商业、经济、医学、法律、可靠性和质量控制、风险评估等众多领域的真实决策问题的建模和分析。该项目将支持将于1992年6月14日至20日在普渡大学举行的第五届普渡国际统计决策理论及相关专题研讨会。为本次研讨会选择的广泛主题包括决策理论中或与决策理论相关的经典主题，如可容许性/极小平稳性/不变性、序贯分析、分层和经验贝叶斯分析、多重决策理论、最优设计和模型选择。较新的主题将包括，如决策理论函数估计，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，非信息性先验的决策理论方面，以及决策理论中的各种应用问题。本系列中关于决策理论和相关主题的前几次研讨会分别于1961年、1970年、1976年、1981年和1986年举行。

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.