Random Utility 2000

随机实用程序 2000

• 批准号: 9818756
• 负责人: Michel Regenwetter
• 金额: $ 3万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1999
• 资助国家: 美国
• 起止时间: 1999-09-01 至 2001-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9818756&HistoricalAwards=false
• 关键词: Random; Utility; 2000

Random Utility 2000 (RU 2000) is a sequence of events with the common goal of assessing the current state and defining directions for future research in random utility theory and its applications. The first event will consist of two days of tutorial sessions in which world-leading scholars will present the fundamentals of probabilistic choice modeling. The tutorials will be followed by the main event: a six day workshop and conference where establisted scholars and junior participants will jointly carve out a vision statement for random utility and probabilistic choice modeling in the new millenium. All events will be held at the Fuqua School of Business, Duke University, in the summer 2000.The key objectives of the project are:1) to bring together world-leading scholars from diverse backgrounds who work on topics that are relevant and related to probabilistic models of choice and measurement, 2) to offer a unique opportunity for young, promising scholars to interact with each other and with senior scholars and familiarize themselves with the state of the art in random utility theory and probabilistic measurement theory, 3) to provide a forum for brain-storming over the key open problems and issues, with the goal of collectively generating a programmatic list of the most important unresolved questions and most promising avenues of research.

随机效用 2000 (RU 2000) 是一系列事件，其共同目标是评估随机效用理论及其应用的当前状态并定义未来研究方向。 第一场活动将包括为期两天的辅导课程，世界领先的学者将在其中介绍概率选择建模的基础知识。教程之后将举行主要活动：为期六天的研讨会和会议，知名学者和初级参与者将共同制定新千年随机效用和概率选择模型的愿景声明。 所有活动将于 2000 年夏季在杜克大学福卡商学院举行。该项目的主要目标是：1) 汇集来自不同背景、研究与以下领域相关的主题的世界领先学者：选择和测量的概率模型，2）为年轻有为的学者提供一个独特的机会，让他们相互交流以及与资深学者互动，并熟悉随机效用理论和概率测量理论的最新技术，3）提供一个论坛对关键的开放问题和问题进行头脑风暴，目标是共同生成最重要的未解决问题和最有希望的研究途径的计划清单。