Conference: Workshop on Stochastic Analysis, Random Fields, and Applications

随机分析、随机场和应用研讨会(SARFA)将于2023年8月14-16日在密歇根州东兰辛市的密歇根州立大学举行。最近，Banach空间中的随机分析、随机偏微分方程、随机场和概率论领域进入了一个快速发展的时期，随机分析、随机过程和许多数学之外的应用(包括物理、流体力学和金融)之间有了显著的新的相互作用。这个研讨会的主要目标是将一群在随机分析、随机偏微分方程式和随机场方面有成就的研究人员、早期研究人员和研究生聚集在一起，并使参与者能够与其他人讨论他们在研究方面的最新重大进展。六位学者将是SARFA研讨会的主要演讲者，他们被选中是因为他们作为随机分析、随机领域及其应用方面的研究人员而出名。研讨会还将包括两个90分钟的辅导讲座，面向新的研究人员，由国际知名的随机偏微分方程式和随机场专家讲授。SARFA将优先向研究生、博士后、妇女和其他任职人数不足或被边缘化的群体以及以其他方式可能无法参加讲习班的职业早期教员提供参加讲习班的财政支助。本课程的主题包括随机分析、随机偏微分方程式、随机场及其在数学金融、统计学和机器学习中的应用。研讨会网页上提供了更多信息：https://stt.natsci.msu.edu/events/sarfa2023/This奖反映了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 Workshop on Stochastic Analysis, Random Fields, and Applications (SARFA) will be held at Michigan State University in East Lansing, Michigan, on 14-16 August 2023. The areas of stochastic analysis, stochastic partial differential equations, random fields, and probability in Banach spaces have recently entered a period of rapid growth, with significant new interactions among stochastic analysis, stochastic processes, and many applications outside mathematics, including physics, fluid mechanics, and finance. The primary goal of this workshop is to bring together a diverse group of accomplished researchers, early-career investigators, and graduate students in stochastic analysis, stochastic partial differential equations, and random fields and to enable participants to discuss their most recent significant progress in research with others. The six scholars who will be the main speakers at the workshop SARFA were chosen for their prominence as researchers in stochastic analysis, random fields, and their applications. This workshop will also include two 90-minute tutorial lectures intended for new researchers, delivered by an internationally renowned expert in stochastic partial differential equations and random fields. Financial support to attend the workshop SARFA will preferentially be given to graduate students, postdocs, women, and other under-represented or marginalized groups, as well as to early-career faculty who may not otherwise be able to attend the workshop. The topics covered in this workshop include stochastic analysis, stochastic partial differential equations, random fields, and their applications to mathematical finance, statistics, and machine learning. More information is available at the workshop webpage: https://stt.natsci.msu.edu/events/sarfa2023/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.