Conference: Cincinnati Symposium on Probability 2024

第六届辛辛那提概率研讨会将于2024年5月1日至4日在俄亥俄州辛辛那提大学举行（早期的辛辛那提研讨会分别于2018年、2014年、2009年、1986年和1985年举行）。今年的研讨会将有16位高级特邀演讲者，7位初级特邀演讲者，并为其他初级与会者举办海报会议，共接待约70名与会者。第一个主要目标是将数学物理中具有弱依赖性的随机过程和随机模型的顶尖专家带到辛辛那提；他们将介绍最新的研究结果。几位受邀的演讲者来自欧洲和亚洲，他们的出席将受到中西部初级概率学家的赞赏。第二个主要目标是为研究生和博士后提供一个展示自己成果的平台，并与知名学者建立联系。我们鼓励所有不发言的年轻参与者在海报环节展示他们的研究成果。最后但并非最不重要的是，组委会致力于多样性，并将确保会议与会者反映研究生和新研究人员的人口，他们是会议的主要听众。研讨会的两个主要主题是弱依赖性随机过程和数学物理中的随机模型。具有弱依赖性的随机过程在概率论的发展及其应用中有着悠久的历史，特别是在统计学中。最近，一些关键技术在其他数学领域有了新的应用，包括随机场、随机矩阵和群上的随机漫步。受邀演讲者的演讲也将展示这种扩展。数学物理一直是概率论发展的另一个主要动力来源，邀请演讲者将介绍随机介质中随机运动和可积概率的选定模型的最新结果。研讨会的网站是https://homepages.uc.edu/~wangyz/CSP2024/index.htmlThis，该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知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The 6th Cincinnati Symposium on Probability will take place on May 1-4, 2024 at the University of Cincinnati, Ohio (earlier Cincinnati Symposia took place in 2018, 2014, 2009, 1986, and 1985). This year's symposium will highlight 16 senior invited speakers, 7 junior invited speakers, and a poster session for other junior participants, hosting a total of around 70 participants. The first major goal is to bring leading experts on stochastic processes with weak dependence and stochastic models in mathematical physics to Cincinnati; they will present their latest results. Several invited speakers are from Europe and Asia, and their presence will be much appreciated by junior probabilists in the midwest. The second major goal is to provide graduate students and postdocs in probability a platform to present their own results and establish connections with well-established scholars. All non-speaking and junior participants are encouraged to present their research results in the poster session. Last but not least, the organizing committee is committed to diversity and will ensure that conference attendees reflect the populations of graduate students and new researchers who form the primary audience of the conference.The two main themes of the symposium are stochastic processes with weak dependence and stochastic models in mathematical physics. Stochastic processes with weak dependence have a long history in the development of probability theory and its applications, particularly in statistics. Recently several key techniques have found new applications in other mathematical areas, including random fields, random matrices, and random walks on groups. Such extensions will also be showcased by the talks of invited speakers. Mathematical physics has been another source of main motivations for the development of probability theory, and invited speakers will present latest results on selected models from random motions in random media and integrable probability. The Symposium website is https://homepages.uc.edu/~wangyz/CSP2024/index.htmlThis 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.