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

密歇根大学统计学系将于2023年9月29日至30日在安娜堡校区举办题为“非参数、序列分析和现代数据科学之间的协同作用”的会议。会议将以非平行会议为特色，由杰出演讲者就统计和概率方面的当前研究进行会谈。此外，还将有一个海报环节，让博士生、博士后和初级教授有机会展示他们的研究并获得反馈。除了演讲的教育价值之外，会议还应该促进演讲者、教师和参加会议的学生之间的合作和讨论。NSF奖金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。会议计划的主题包括：强化学习的序列分析；形状约束及其他；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世纪的天文统计学。欲了解更多信息或注册参加，请访问会议网页：https://sites.lsa.umich.edu/woodroofememorial/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 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.