Sixth Purdue International Symposium on Statistics

项目编号：DMS 9801130项目编号：第六届普渡统计学国际研讨会摘要：本次国际研讨会将于1998年6月17日至21日在普渡大学举行。研讨会由6月17日至19日的“主要统计范式的综合和接口”研讨会和6月19日至21日的“统计决策理论及相关主题”会议组成。工作坊将聚焦于主要的方法，如频率论、贝叶斯、似然和自举范例。不同的范式不是简单的应该单独开发的独立方法，而是必须结合在一起的统计推断难题的各个部分。决策理论会议的主要目的之一是利用决策理论的统一性质来加强统计学中明显不同领域的交叉受精。这次会议是讲习班的自然补充。统计决策理论越来越多地用于商业、经济、医学、法律、可靠性和质量控制、风险评估以及许多其他领域的决策问题的建模和分析。它试图为决策和统计推断提供一种正式的方法，要求提供明确的数字标准，并根据这些标准评估统计程序或决定的优点。会议的广泛主题包括统计推断和决策理论内部或相关的经典主题。接口研讨会检查统计学家使用的不同范例可能在方法上统一的领域。重点是模型选择和测试，置信集和预测区间，非参数和统计计算。补助金的很大一部分将用于研究生、新研究人员和代表性不足群体成员的开支。

PI: Shanti S. Gupta and Mary Ellen Bock, Purdue University Proposal Number: DMS 9801130 Project: Sixth Purdue International Symposium on Statistics Abstract: This international symposium will be held from June 17 to 21, 1998, at Purdue University. The symposium consists of a workshop June 17-19 on "Synthesis and Interfaces of Major Statistical Paradigms" and a conference June 19-21 on "Statistical Decision Theory and Related Topics". The workshop will focus on the major approaches such as frequentist, Bayesian, likelihood, and bootstrap paradigms. The different paradigms are not simply separate approaches that should be developed individually, but are instead pieces of the puzzle of statistical inference that must be fit together. One of the primary purposes of the conference on decision theory is to use the unifying nature of decision theory to enhance cross-fertilization among apparently disparate areas of statistics. The conference is a natural adjunct to the workshop. Statistical decision theory is increasingly used in modeling and analysis of decision problems in business, economics, medicine, law, reliability and quality control, risk assessment, and numerous other fields. It 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 statisitcal procedure or decision be assessed by these criteria. The broad topics for the conference include classical subjects within or related to statistical inference and decision theory. The interface workshop examines areas where the different paradigms used by statisticians may be unified in methodology. The focus is on model selection and testing, confidence sets and prediction intervals, nonparametrics and statistical computation. A large portion of the grant will go towards expenses of graduate students, new researchers, and members of underrepresented groups.