Bayes 250 Conference

为期五天的会议将于2013年12月15日至19日在杜克大学举行。会议由三个研讨会组成。客观贝叶斯2013研讨会从12月15日至19日，包括三天的科学会议，一天的研究生和新研究人员教程，以及一次海报会议，所有这些都围绕着客观贝叶斯方法的主要最新发展。EFaB@Bayes 250研讨会于12月15日至16日举行，旨在促进经济、金融和商业领域的贝叶斯方法的研究和教育，以及这些领域的学术和行业互动和拓展。12月17日是贝叶斯250日，庆祝托马斯·贝叶斯论文发表250周年，讲座展示了贝叶斯分析对许多科学学科的变革性影响。所审议的科学主题包括：客观贝叶斯分析的基础；客观先验，统计学的统一；空间和时间方法；巨大模型空间的模型不确定性；非参数分析；大规模多重测试和分组分析；计算问题，特别是在海量数据下的计算问题；不确定性量化；过程的统计和计算模型的接口；以及高能物理和天体物理学中的客观贝叶斯方法。贝叶斯250大会于2013年12月15日至19日在杜克大学举行，为期五天，汇集了来自世界各地的贝叶斯分析领域的领先研究人员。在过去的十年里，工程学、医学和科学界对贝叶斯统计方法的兴趣激增，这次会议为交流最近的研究进展提供了一个及时的论坛，为新的研究人员和代表性不足的群体提供了机会，并建立了新的合作，将努力解决悬而未决的问题，并为研究开辟新的方向。这次会议恰逢托马斯·贝耶斯发表这篇著名论文250周年。会议的组织旨在促进互动，每天最多有7次演讲和广泛的讨论。教程和晚间海报会议增强了研究生和新研究人员的会议体验。资金主要用于资助研究生和新的研究人员。

A five-day conference is being held at Duke University during December 15-19, 2013. The conference consists of three workshops. The Objective Bayes 2013 Workshop, from December 15-19, consists of three days of scientific sessions, one day of tutorials for graduate students and new researchers, and a poster session, all centering on major recent developments in objective Bayesian methodology. The EFaB@Bayes 250 Workshop, from December 15-16, promotes research and education on Bayesian methods in economics, finance and business, and academic-industry interactions and outreach across these areas. Bayes 250 Day on December 17, celebrates the 250th anniversary of the presentation of Thomas Bayes' paper, with lectures showing the transformative impact of Bayesian analysis on a number of scientific disciplines. The scientific topics considered include foundations of objective Bayesian analysis; objective priors, unification of statistics; spatial and temporal methods; model uncertainty with huge model spaces; nonparametric analysis; massive multiple testing and subgroup analysis; computational issues, especially with massive data; uncertainty quantification; the interface of statistics and computational modeling of processes; and objective Bayesian methods in high energy physics and astrophysics. The Bayes 250 Conference, a five day conference at Duke University during December 15-19, 2013, brings together leading researchers in Bayesian analysis from around the world. The last decade has seen an explosion of interest in Bayesian statistical methodology across engineering, medicine and science, and this meeting provides a timely forum for the exchange of recent research developments, provides opportunities for new researchers and underrepresented groups, and establishes new collaborations that will channel efforts into pending problems and open new directions for investigation. The conference is timed to coincide with the 250th anniversary of the publication of the famous paper by Thomas Bayes. The organization of the meeting is designed to facilitate interactions, with at most 7 talks per day and extensive discussion built in. Tutorials and an evening poster session enhance the conference experience for graduate students and new researchers. Funding primarily supports graduate students and new researchers.