2017 Quality and Productivity Research Conference - Quality and Statistics: Path to a Better Life

2017年质量和生产力研究会议(QPRC)和统计：通向更美好生活的道路于2017年6月13日至15日举行，在此之前，6月12日举行了题为《大数据问题的计算贝叶斯方法》的短期课程。QPRC 2017是一个国际会议，作为美国统计协会(ASA)质量和生产力部门的年度会议，将学者和专业人员聚集在一起，传播和讨论与质量和生产力有关的统计方法的最新进展。会议和短期课程对研究型研究生和本科生，以及初级研究人员和专业人员特别有价值。在成功的年度QPRC的悠久传统中，QPRC 2017的目标是为其参与者提供-统计学家和跨学科专业人员？有机会就质量和生产力领域的广泛主题，特别是与各个领域的大数据相关的主题，会面和交流意见。NSF支持约30名研究型学生参加(注册、旅行和住宿)，特别考虑来自美国学术机构的女性和少数族裔学生-研究生、高年级或低年级本科生。强烈鼓励获得支持的与会者积极参加会议，除了参加短期课程和参加供应商提供的软件演示外，还应张贴海报。预计这些学生将从参加这次会议和参加短期课程中受益匪浅，并有机会传播他们的研究并发展强有力的合作。会议的主要目的是聚集来自学术界、工业界和政府的知名和新兴的年轻研究人员，他们积极从事质量和生产率领域的理论、方法和计算研究，以讨论他们的研究，特别是他们在各种相关领域的应用。焦点主题包括但不限于，贝叶斯方法与计算、数据挖掘、动态建模、实验设计、健康分析、非参数方法、可靠性、随机建模、时间序列、变量选择等。有三个全体会议和几个有趣的应邀和贡献的讲座。会议为所有与会者提供了一个机会，特别是初级教师、研究生和本科生展示他们的研究，并从与高级研究人员的互动中受益，从而加速和加强他们的研究。在海报展示之前，每个演讲者都有机会在3分钟内展示他/她的作品。这个简短的课程特别说明了解决大数据的建模、方法和计算(包括大n问题和大p问题)的技术的重要性。有关会议和短期课程的更多详细信息，请访问会议网站www.qprc2017.org。

The 2017 Quality and Productivity Research Conference Quality (QPRC) and Statistics: Path to a Better Life is held during June 13-15, 2017, preceded on June 12 by a short course titled Computational Bayesian Methods for Big Data Problems. QPRC 2017 is an international conference which serve as the annual conference of the Quality and Productivity Section of the American Statistical Association (ASA) in bringing together academics and professionals to disseminate and discuss latest advances in statistical approaches relevant to quality and productivity. The conference and the short course will be especially valuable for research oriented graduate and undergraduate students, as well as junior researchers and professionals. In the long tradition of successful annual QPRCs, the goal of QPRC 2017 is to provide its participants - statisticians and inter-disciplinary professionals ? an opportunity to meet and exchange ideas related to a broad set of topics in the area of quality and productivity, especially on topics relevant to big data in various areas. The NSF supports the participation (registration, travel and accommodation) for about 30 research oriented students with special consideration to women and minority students - graduate students, or senior or junior undergraduate students - from US academic institutions. Participants receiving support are strongly encouraged to actively take part in the conference by presenting a poster, in addition to attending the short course and attending software demos to be provided by vendors. These students are expected to greatly benefit from participating in this conference and attending the short course, and additionally have an opportunity to disseminate their research and to develop strong collaborations. The main objective of the conference is to bring together both well established and emerging young researchers from academia, industry and government, who are actively pursuing theoretical, methodological, and computational research in the areas of quality and productivity, in order to discuss their research and in particular, their applications in various related fields. The focus topics include, but are not limited to, Bayesian Methods and Computing, Data Mining, Dynamic Modeling, Experimental Design, Health Analytics, Nonparametric methods, Reliability, Stochastic Modeling, Time Series, Variable Selection, etc. There are three plenary sessions and several interesting invited and contributed talk sessions on these topics. The conference provides an opportunity for all attendees, and especially for junior faculty, graduate students, and undergraduate students to showcase their research, and to also benefit from interactions with senior researchers, leading to acceleration and enhancement of their research. A rapid round precedes the poster session, and each presenter has an opportunity to showcase his/her work in 3 minutes. The short course especially illustrates the importance of techniques that address modeling, methods, and computing for big data (both big n and big p problems). More details about the conference and the short course can be found at the conference website www.qprc2017.org.