Conference on Advances in Bayesian and Frequentist Theory and Methods for Complex Data

该项目支持将于2022年4月8日至9日在新泽西州皮斯卡塔韦的罗格斯大学举行的关于复杂数据的贝叶斯和频率理论与方法的进展会议。这次会议将聚集具有不同专业知识的知名、职业生涯中期和职业生涯早期的研究人员，讨论统计理论和方法的最新进展、当前挑战和新出现的方向，并特别关注高维问题。这次会议将提供一个重要的场所，以促进跨学科合作，解决涉及大型和复杂数据的问题。这一举措还将支持职业早期研究人员和研究生的参与，其中包括妇女和代表人数不足的少数群体的参与。统计科学在从高维和复杂数据分析和提取知识方面取得了实质性和多样化的发展，这些数据可以在从科学研究到工业应用的各种环境中找到。这种发展往往是由频率统计法和贝叶斯统计法之间的联系和相互促进推动的。这次会议将提供一个独特的机会，在高维环境下直接比较和联系频率法和贝叶斯方法。这次活动将举行18次全体会议，重点介绍该领域的最新研究成果。还将组织一次海报会议，以鼓励早期职业研究人员和研究生发表演讲。更多信息可在会议网页上找到：https://www.stat.rutgers.edu/conference-on-bayesian-and-frequentist-theory-and-methodsThis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 project supports the Conference on Advances in Bayesian and Frequentist Theory and Methods for Complex Data, which will be held on April 8-9, 2022 at Rutgers University, Piscataway, New Jersey. The conference will bring together established, mid-career, and early-career researchers with diverse expertise to discuss the latest advances, current challenges, and emerging directions in statistical theory and methodology, with a particular focus on high dimensional problems. The conference will provide an important venue to stimulate interdisciplinary collaboration for tackling problems involving large and complex data. This initiative will also provide support for participation of early-career researchers and graduate students, including women and those from underrepresented minority groups.There has been a substantial and diverse development in statistical sciences to analyze and extract knowledge from high-dimensional and complex data, which can be found in various settings, from scientific research to industrial applications. Such development has often been powered by the connection and cross-fertilization between frequentist and Bayesian statistics. This conference will provide a unique opportunity for direct comparison and connection between frequentist and Bayesian approaches in high dimensional settings. The event will feature 18 plenary talks which will highlight the most recent research results in the field. A poster session will also be organized to encourage presentations from early career researchers and graduate students. More information can be found on the conference webpage: https://www.stat.rutgers.edu/conference-on-bayesian-and-frequentist-theory-and-methodsThis 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.