Conference: Synergies between Nonparametrics, Sequential Analysis and Modern Data Science

密歇根大学统计系将于2023年9月29日至30日在安娜堡校区主办题为“非参数分析、序列分析和现代数据科学之间的协同效应”的会议。会议将以非平行会议为特色，由杰出的发言者就当前的统计和概率研究发表演讲。还将有一个海报会议，让博士生、博士后和初级教授有机会介绍和接受对他们研究的反馈。除了演讲的教育价值外，会议还应促进参与活动的演讲者、教职员工和学生之间的合作和讨论。NSF奖的大部分资金将用于支持学生参加会议，特别是非本地学生的旅费。会议计划的会议主题包括：强化学习的顺序分析；形状约束和超越；相依数据的极限定理；现代数据科学；非参数和选择偏差；以及21世纪的天体统计学。欲了解更多信息或注册参加，请查看会议网页：https://sites.lsa.umich.edu/woodroofememorial/This奖项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。

The Department of Statistics at the University of Michigan will host the conference titled “Synergies between Nonparametrics, Sequential Analysis and Modern Data Science” on the Ann Arbor campus from September 29 to 30, 2023. The conference will feature non-parallel sessions with talks on current research in statistics and probability by distinguished speakers. There will also be a poster session to give PhD students, postdocs, and junior professors an opportunity to present and receive feedback on their research. Beyond the educational value from the presentations, the conference should serve to foster collaboration and discussion among the speakers, faculty, and students participating in the event. Most of the funds from the NSF award will be used to support student participation in the conference, especially travel funds for non-local students.Planned session topics for the conference include: sequential analysis to reinforcement learning; shape constraints and beyond; limit theorems for dependent data; modern data science; nonparametrics and selection biases; and astrostatistics in the 21st century. For more information or to register to participate, please see the conference web-page: https://sites.lsa.umich.edu/woodroofememorial/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.