Workshop/Conference for Probability Models and Statistical Analyses for Ranking Data

摘要PI：Joseph Verducci提议：0428026研讨会/会议的概率模型和统计分析的排名数据研讨会，面向年轻的研究人员，是由五个为期一周的背景课程和当前的研究课题系列讲座。 排名数据的五个短期课程是1）概率模型; 2）实验设计和分析; 3）基于模拟的方法; 4）配对比较; 5）独立性检验。 目前的研究课题包括搜索引擎的排名方法，与群体代表理论的联系，以及消费者偏好的随机效应。 该会议更多地面向专家，包括来自不同领域的邀请和贡献论文，包括机器学习，代数和效用理论。 排名形式的数据随处可见：在市场营销中，排名是研究消费者偏好在不断变化的条件下发生微妙变化的关键;在体育运动中，排名决定了从大学球队的排名到奥运会奖牌的一切;在互联网上，成千上万的类似网站必须以不同的方式进行排名，以满足不同客户的需求。 对这些数据的准确分析需要专门的方法。 从历史上看，这些方法在三个时代进行了研究，前计算机时代，构建简单的模型，主要基于心理学和经济学理论;早期计算机时代，许多模型被分类和实施;现代时代，模型被定制为复杂问题。 研讨会/会议旨在通过不同的文献引导年轻的研究人员了解当前的最新技术水平。

abstract PI: Joseph Verducciproposal: 0428026Workshop/Conference for Probability Models and Statistical Analyses for Ranking DataThe workshop, geared toward young researchers, is comprised of five week-long background courses and a lecture series of current research topics. The five short courses for ranking data are 1) Probability Models; 2) Experimental Designs and Analysis; 3) Simulation Based Methods; 4) Paired Comparisons; 5) Tests of Independence. Current research topics include Ranking Methods for Search Engines, Connections with the Theory of Group Representations, and Random Effects in Consumer Preferences. The conference, geared more toward specialists, consists of invited and contributed papers from diverse areas, including Machine Learning, Algebra, and Utility Theory. Contributed papers emphasize current applications.Data in the form of rankings may be found everywhere: in marketing, rankings are the key to studying subtle changes in consumer preferences under changing conditions; in sports, for determining everything from college team seedings to Olympic medals; on the internet, thousands of similar sites must be ranked in different ways to meet the needs of diverse clients. Accurate analysis of such data requires specialized methods. Historically these methods were studied in three eras, the pre-computer era, where simple models were constructed, largely based on theories from psychology and economics; the early computer era, where many models were categorized and implemented; and the modern era, where models are being tailored to complex problems. The workshop/conference is designed to lead young researchers through the diverse literature to the current state of the art.