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

随机分析、随机场及其应用研讨会（SARFA）将于2023年8月14-16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、随机场和巴纳赫空间中的概率等领域最近进入了一个快速增长的时期，在随机分析、随机过程和许多数学以外的应用（包括物理学、流体力学和金融学）之间产生了重要的新相互作用。本次研讨会的主要目标是汇集不同群体的有成就的研究人员，早期的职业调查者，和研究生在随机分析，随机偏微分方程，和随飞机，并使参与者讨论他们的最新重大进展与他人的研究。本次研讨会的主讲人是六位在随机分析、随机场及其应用研究方面表现突出的学者。本次研讨会还将包括两个90分钟的新研究人员的指导讲座，由国际知名的随机偏微分方程和随机场专家授课。参加研讨会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、统计学和机器学习中的应用。更多信息可访问研讨会网页：https://stt.natsci.msu.edu/events/sarfa2023/This该奖项反映了美国国家科学基金会的法定使命，并通过基金会的知识价值和更广泛的影响审查标准进行评估，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.