Objective Bayes 2022 Methodology Conference

“目标贝叶斯2022方法论会议”将于2022年9月6日至10日在加州圣克鲁斯市的加州大学圣克鲁斯分校举行。会议将集中讨论客观贝叶斯理论、方法和应用以及相关主题的最新发展，为新研究人员提供一天的教程，四天的科学讨论和海报会议向所有参与者开放。本次会议将汇集专家，以及一组学生和年轻的研究人员从广泛的领域内和相关的客观贝叶斯方法。主要目标是激发新的客观贝叶斯技术的发展，这将成为处理不确定性建模的各种学科（如气候学、经济学和生态学）的宝贵工具。重点将放在新的和现有的研究人员之间的互动，研究人员在不同的方法领域。今天，贝叶斯方法比以往任何时候都更加广泛。在计算机革命和原则性不确定性量化需求的推动下，贝叶斯方法在科学和工业环境中得到广泛应用。会议旨在回应这些需求，并将涵盖客观贝叶斯方法的许多方面，从理论到应用和计算。会议还将涵盖高维数据分析、近似贝叶斯计算、贝叶斯非参数、机器学习等领域的最新发展。有关会议的更多细节，请参阅会议主页：https://obayes.soe.ucsc.edu.This该奖项反映了美国国家科学基金会的法定使命，并通过基金会的智力价值和更广泛的影响审查标准进行评估，认为值得支持。

The conference "Objective Bayes 2022 Methodology Conference" will be held at the University of California Santa Cruz, in Santa Cruz, CA, on September 6-10, 2022. Focusing on recent developments in objective Bayes theory, methodology and applications, and related topics, the conference will feature one day of tutorials for new researchers and four days of scientific sessions with discussion and a poster session open to all participants. This conference will bring together experts as well as a group of students and young researchers from a broad set of areas within and related to objective Bayesian methodology. The primary goal is to spark the development of new objective Bayesian techniques, which will serve as invaluable tools in various disciplines that deal with modeling uncertainty such as climatology, economics, and ecology. Emphasis will be placed on the interaction between new and established researchers, and researchers in different methodological areas.Today, more than ever, Bayesian approaches have become increasingly widespread. Driven in part by the computing revolution and the need for principled uncertainty quantification, Bayesian methods are being applied widely across the sciences and within industry settings. The conference is aimed to respond to these demands, and will encompass many aspects of objective Bayesian methodology, from theoretical, to applied and computational. The conference will also cover recent developments in areas such as high-dimensional data analysis, approximate Bayesian computation, Bayesian nonparametric, machine learning, etc. For more details about the conference, please see the conference homepage: https://obayes.soe.ucsc.edu.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.