Bayesian Inference in Statistics and Statistical Genetics

统计和统计遗传学中的贝叶斯推理

• 批准号: 1719789
• 负责人: Min Wang
• 金额: $ 1万
• 依托单位: Michigan Technological University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1719789&HistoricalAwards=false
• 关键词: Bayesian; Inference; Statistics; Statistical; Genetics

This award supports the participation of junior researchers in the research conference "Bayesian Inference in Statistics and Statistical Genetics" to be held at Michigan Technological University in Houghton, Michigan, August 16-20, 2017. Bayesian inference for high-dimensional data has received considerable attention from researchers in a wide variety of fields, including climatology analysis, genomics and proteomics studies, time series analysis, and neuroimaging. Further, there is an increasing demand for Bayesian inference in other related fields due to the rapid evolution of high-performance computing.The purpose of this conference is to stimulate research collaboration in the development, analysis, and application of statistical techniques for complex, high-dimensional data arising in real world applications. The conference will be an excellent forum for exchanging cutting-edge research results, highlighting current research trends and open problems, exploring visions of future work, and stimulating cross-disciplinary research in various areas. The conference will feature plenary talks given by internationally recognized specialists, invited presentations by junior researchers, and a contributed poster session. Additional information can be found at the conference website:http://kliak.mtu.edu/2017/

该奖项支持初级研究人员参加将于2017年8月16-20日在密歇根州霍顿的密歇根理工大学举行的研究会议《统计学和统计遗传学中的贝叶斯推理》。高维数据的贝叶斯推断受到了气候学分析、基因组学和蛋白质组学研究、时间序列分析和神经成像等领域研究人员的极大关注。此外，由于高性能计算的快速发展，其他相关领域对贝叶斯推理的需求也在不断增加。本次会议的目的是促进在现实世界应用中出现的复杂、高维数据的统计技术的开发、分析和应用方面的研究合作。会议将是交流前沿研究成果、突出当前研究趋势和存在的问题、探索未来工作愿景、激发各领域跨学科研究的绝佳论坛。会议将包括由国际公认的专家进行的全体演讲，初级研究人员的特邀演讲，以及贡献的海报会议。欲了解更多信息，请访问会议网站：http://kliak.mtu.edu/2017/。