ISBA 2020: 15th World Meeting of the International Society for Bayesian Analysis -- June 29-July 3, 2020

ISBA 2020：国际贝叶斯分析学会第十五届世界会议——2020年6月29日至7月3日

• 批准号: 1938935
• 负责人: Li Ma
• 金额: $ 3万
• 依托单位: Duke University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1938935&HistoricalAwards=false
• 关键词: ISBA; 2020; 15th; World; Meeting

This award supports travel for participants in the 2020 World Meeting of the International Society for Bayesian Analysis (ISBA) held in Kunming, China, June 29 - July 3, 2020. The conference themes include theory, modeling, and applications in Bayesian statistics. The grant provides support for graduate students and postdoctoral researchers from U.S.-based institutions to travel to the conference. Particular emphasis is given to supporting women and members of underrepresented groups.Statisticians play a critical role in the analysis of noisy, complex data that are used to make scientific discoveries as well as practical decisions under uncertainty. Bayesian statistics provides a coherent framework that facilitates integrating information from different sources and communicates findings and conclusions using probabilities. As a result, Bayesian approaches have been widely adopted in a variety of modern applications in areas such as biology, physics, psychology, economics, finance, environmental science, and engineering, along with many others. Bayesian models and methods are also the foundation for many recent developments in machine learning and artificial intelligence. The 2020 ISBA World Meeting brings together the diverse international community of researchers and practitioners who develop and use Bayesian statistical methods for sharing recent findings, exchanging ideas, and discussing new, challenging problems. The international meeting exposes participants to ideas and colleagues from other countries, with whom they may not ordinarily interact. Participation in the conference will help inform junior statisticians about the key problems and methods that shape research in modern Bayesian statistics and provide them with opportunities to learn from more established researchers and to build collaborative relationships.Additional information is available on the meeting web page https://bayesian.org/isba2020-home/This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项支持参加2020年6月29日至7月3日在中国昆明举行的国际贝叶斯分析学会（ISBA）2020年世界会议的与会者的旅行。会议主题包括贝叶斯统计的理论、建模和应用。该补助金为来自美国的研究生和博士后研究人员提供支持-总部设在日内瓦的机构前往参加会议。统计学家在分析嘈杂、复杂的数据方面发挥着关键作用，这些数据用于做出科学发现，以及在不确定的情况下做出实际决定。贝叶斯统计提供了一个连贯的框架，便于整合来自不同来源的信息，并使用概率传达调查结果和结论。因此，贝叶斯方法已被广泛采用在各种现代应用领域，如生物学，物理学，心理学，经济学，金融学，环境科学和工程学，沿着与许多其他。贝叶斯模型和方法也是机器学习和人工智能许多最新发展的基础。2020年ISBA世界会议汇集了不同的国际研究人员和从业人员，他们开发和使用贝叶斯统计方法，分享最新的研究结果，交流思想，讨论新的挑战性问题。国际会议使与会者接触到来自其他国家的想法和同事，他们通常可能不会与他们互动。参加会议将有助于通知初级统计学家的关键问题和方法，塑造现代贝叶斯统计学的研究，并为他们提供机会，从更成熟的研究人员学习，并建立合作关系。更多信息可在会议网页https://bayesian.org/isba2020-home/This奖项反映了NSF的法定使命，并已被认为是值得通过评估使用基金会的智力价值的支持和更广泛的影响审查标准。