Bayesian Inference in Statistics and Statistical Genetics

该奖项支持初级研究人员参加将于2017年8月16日至20日在密歇根州霍顿的密歇根理工大学举行的研究会议“统计和统计遗传学中的贝叶斯推断”。高维数据的贝叶斯推断已经受到了广泛领域研究人员的关注，包括气候学分析，基因组学和蛋白质组学研究，时间序列分析和神经成像。此外，由于高性能计算的快速发展，在其他相关领域对贝叶斯推理的需求也越来越大。本次会议的目的是促进研究合作，开发，分析和应用统计技术，以解决真实的世界应用中出现的复杂，高维数据。会议将是一个交流前沿研究成果、突出当前研究趋势和开放问题、探索未来工作愿景、促进各领域跨学科研究的绝佳论坛。会议将包括国际公认的专家的全体会议，邀请初级研究人员的演讲，以及贡献的海报会议。 更多信息可以在会议网站上找到：http://kliak.mtu.edu/2017/

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/