2017 Seminar on Stochastic Processes

2017年随机过程研讨会

• 批准号: 1663552
• 负责人: Tai Melcher
• 金额: $ 4.6万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-12-01 至 2018-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1663552&HistoricalAwards=false
• 关键词: 2017; Seminar; Stochastic; Processes

The 2017 Seminar on Stochastic Processes (SSP) will be held at University of Virginia in Charlottesville, VA on March 8-11, 2017. These seminars have been held annually since 1981; they have become the most important regular conference series for probabilists in North America. They bring together a diverse group of accomplished and early career researchers in probability and stochastic processes. The primary goal is to provide a platform for the dissemination of the most recent significant progress in research in the theory of stochastic processes, and to enable participants to discuss their work in an informal atmosphere.Stochastic processes are basic building blocks of the way that randomness exhibits itself in the real world, and are used to model a wide range of physical, biological, ecological, and financial phenomena. The Seminar on Stochastic Processes is a fixture in probability, and many prominent probabilists attend every year. The format of this meeting is based on the success of recent Seminars on Stochastic Processes. There will be five one hour talks and a tutorial session consisting of two 90 minute lectures, all delivered by distinguished speakers on key recent themes and developments in stochastic process research and their important connections to other parts of mathematics and the sciences. This conference will also feature opportunities for early career researchers to present their own research and for the discussion of open problems.More details are available at the conference websitehttp://faculty.virginia.edu/ssp17/

2017年随机过程研讨会（SSP）将于2017年3月8日至11日在弗吉尼亚州夏洛茨维尔的弗吉尼亚大学举行。自1981年以来，这些研讨会每年举行一次;它们已成为北美概率学家最重要的定期会议系列。他们汇集了一群不同的成功和早期职业研究人员在概率和随机过程。 主要目的是提供一个平台，传播随机过程理论研究的最新重大进展，并使参与者能够在非正式的气氛中讨论他们的工作。随机过程是随机性在真实的世界中表现出来的基本组成部分，并用于模拟广泛的物理，生物，生态和金融现象。随机过程研讨会是概率论的一个固定项目，每年都有许多杰出的概率学家参加。本次会议的形式是基于最近的随机过程研讨会的成功。将有五个一小时的会谈和两个90分钟的讲座组成的教程会议，所有由杰出的演讲者在最近的关键主题和随机过程研究的发展及其与数学和科学的其他部分的重要连接交付。本次会议还将为早期职业研究人员提供展示自己的研究和讨论开放问题的机会。更多详细信息请访问会议网站http：faculty.virginia.edu/ssp17/