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

随机分析，随机场和应用（SARFA）研讨会将于2023年8月14日至16日在密歇根州东兰辛的密歇根州立大学举行。随机分析、随机偏微分方程、随机场和Banach空间中的概率等领域最近进入了一个快速发展的时期，随机分析、随机过程和数学之外的许多应用（包括物理学、流体力学和金融学）之间有着重要的新的相互作用。本次研讨会的主要目标是汇集一组不同的有成就的研究人员，早期职业调查人员和随机分析，随机偏微分方程和随机场的研究生，并使参与者能够与他人讨论他们最近的重大研究进展。六位学者将在研讨会SARFA的主要发言人被选为他们的突出作为研究人员在随机分析，随机场，及其应用。该研讨会还将包括两个90分钟的辅导讲座，由随机偏微分方程和随机场的国际知名专家为新的研究人员提供。参加研讨会SARFA的财政支持将优先给予研究生，博士后，妇女和其他代表性不足或边缘化的群体，以及可能无法参加研讨会的早期职业教师。 本次研讨会涵盖的主题包括随机分析，随机偏微分方程，随机场及其在数学金融，统计和机器学习中的应用。更多信息可在研讨会网页：www.example.com奖项反映了NSF的法定使命，并已被认为值得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的支持。

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.