Latent Variables Conference 2016

该奖项支持初级研究人员参加2016年10月12日至14日在南卡罗来纳州大学举行的研究会议“潜在变量2016”。潜变量的统计概念（其值是推断的而不是直接测量的量）对于从医学到社会科学再到自然语言的机器处理的各种领域的统计分析都很重要。潜在变量会议的目的是鼓励潜在变量研究思想的交流，并激励和指导未来在这一领域和相关领域的研究。 本次会议为年轻的研究人员提供了一个极好的机会来展示他们的工作，了解该领域的最新发展，并启动新的研究合作。会议包括该领域领导者的四次全体演讲，以及六对并行会议，每对三位演讲者，将包括与潜变量理论和分析相关的几个领域的研究进展，包括多重检验、脆弱性模型、客观贝叶斯分析、因子模型、诊断筛选、模型误指定、组检验和生物标志物汇集、项目响应理论、基于模型的聚类、广义线性潜在变量模型和测量误差模型。 海报会议将提供更多的机会交流思想，其中一个海报会议是专门为研究生设计的，以展示他们的研究。 更多信息可以在会议网站上找到：http://www.stat.sc.edu/latent-variables-2016

This award supports participation of junior researchers in the research conference "Latent Variables 2016" held at the University of South Carolina, October 12-14, 2016. The statistical concept of a latent variable (a quantity whose values are inferred rather than directly measured) is important for statistical analysis in a wide variety of fields, from medicine to social science to machine processing of natural language. The purpose of the Latent Variables conference is to encourage the exchange of research ideas in latent variables, and to motivate and direct future research in this and related areas. The conference provides an excellent opportunity for young researchers to present their work, to learn about recent developments in the field, and to initiate new research collaborations.The conference features four plenary talks by leaders in the field, as well as six pairs of concurrent sessions, each with three speakers, that will include address research progress in several areas related to latent variables theory and analysis, including multiple testing, frailty models, objective Bayes analysis, factor models, diagnostic screening, model misspecification, group testing and biomarker pooling, item response theory, model-based clustering, generalized linear latent variable models, and measurement error models. Poster sessions will provide additional opportunities for exchange of ideas, and one of the poster sessions is designated specifically for graduate students to present their research. Additional information can be found at the conference web site:http://www.stat.sc.edu/latent-variables-2016