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

该奖项支持参加2020年6月29日至7月3日在昆明举行的国际贝叶斯分析学会世界会议的与会者的旅费。会议主题包括贝叶斯统计的理论、建模和应用。这笔赠款为美国机构的研究生和博士后研究人员提供了前往参加会议的支持。特别强调支持妇女和代表性不足群体的成员。统计学家在分析嘈杂、复杂的数据方面发挥着关键作用，这些数据被用来做出科学发现以及在不确定情况下的实际决策。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，贝叶斯方法在生物学、物理学、心理学、经济学、金融学、环境科学和工程学等许多领域的各种现代应用中被广泛采用。贝叶斯模型和方法也是机器学习和人工智能领域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实践者社区，他们开发和使用贝叶斯统计方法来分享最新的发现，交流想法，并讨论新的、具有挑战性的问题。国际会议让与会者接触到来自其他国家的想法和同事，他们通常不会与他们互动。参加会议将帮助初级统计学家了解影响现代贝叶斯统计学研究的关键问题和方法，并为他们提供向更成熟的研究人员学习和建立合作关系的机会。会议网页上提供了其他信息，https://bayesian.org/isba2020-home/This奖反映了美国国家科学基金会的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.