Conference on Asymptotic Analysis in Stochastic Processes, Nonparametric Estimation, and Related Problems

随机过程渐近分析、非参数估计及相关问题会议

• 批准号: 0600537
• 负责人: Pao Liu Chow
• 金额: $ 1.6万
• 依托单位: Wayne State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-06-15 至 2008-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0600537&HistoricalAwards=false
• 关键词: Conference; Asymptotic; Analysis; Stochastic; Processes

This is a proposal on conference for asymptotic analysis in stochastic processes, nonparametric estimation, and related fields. The proposal presents a concerted effort of researchers from multiple institutions to assemble an impressive list of invited speakers, who are renowned leaders in the fields of probability theory, stochastic processes, stochastic differential equations,as well as in the nonparametric estimation theory, and related fields. Their works have stimulated much of subsequent progress in these fields. In addition,a number of invited speakers were early developers of the fields of probability and stochastic processes, establishing the foundation of contemporary probability theory. The conference focuses on stochastic systems. The main theme is asymptotic stochastic analysis, which is a powerful tool for studying stochastic processes and nonparametric estimation problems. Leading experts around the globe will present state-of-the-art results on such topics as stochastic ordinary and partial differential equations, large deviations, homogenization, asymptotic methods in nonparametric inference, the interplay between stochastic differential equations and nonlinear partial differential equations, and stochastic control and numerical methods. Not only will the conference further our understanding in stochastic processes and nonparametric methods, but also it will be a trend setting event, leading to an acceleration of research efforts, and making broader impacts on mathematics, education, and different branches of science and engineering as a whole.In the new era of global economy, any scientific innovation will add to the national competitiveness. The asymptotic analysis in stochastic processesand nonparametric estimation extends in many areas of human endeavor, and it is a very powerful mathematical tool for solving many complex problems arising from engineering and sciences. In recent years, research in these areas has witnessed a tremendous progress, which has resulted in a significant impact on mathematics, physical, social and biological sciences, as well as on engineering and technology. The rapid progress has necessitated fast and timely communications among researchers in the field. The proposal aims at bring leading experts in the areas together to exchange ideas, to interact with young researchers, and to update the most recent progress. The proposal presents a concerted effort by researchers from multiple institutions to assemble an impressive list of invited speakers, who are renowned leaders in the fields of probability theory, stochastic processes, stochastic differential equations,as well as in the nonparametric estimation theory, and related fields. Their important scientific contributions have stimulated much of subsequent progress in these fields. In addition, a number of invited speakers were early developers of the fields of probability and stochastic processes, establishing the mathematical foundation of contemporary probability theory and its applications.Special emphasis will be given to encourage broad participation, which is important to the diversification of the research community. The organizing committee will make every effort to promote the participation of junior researchers, graduate students, and researchers from under-represented groups.Not only will the conference further our understanding in stochastic processes and nonparametric statistical methods, but also it will be a trend-setting event, leading to an acceleration of research efforts, and making broader impacts on mathematics and applications, education, and different branches of science and engineering as a whole.

这是一个关于随机过程渐近分析、非参数估计及相关领域会议的建议。该提案提出了来自多个机构的研究人员的共同努力，以汇集令人印象深刻的受邀演讲者名单，他们是概率论，随机过程，随机微分方程以及非参数估计理论和相关领域的着名领导者。他们的工作促进了这些领域后来的许多进展。此外，一些受邀演讲者是概率和随机过程领域的早期开发者，为当代概率论奠定了基础。会议的重点是随机系统。主题是渐近随机分析，这是一个强大的工具，研究随机过程和非参数估计问题。领先的专家在地球仪将目前国家的最先进的成果等主题的随机常微分方程和偏微分方程，大偏差，均匀化，渐近方法在非参数推断，随机微分方程和非线性偏微分方程之间的相互作用，随机控制和数值方法。这次会议不仅将进一步加深我们对随机过程和非参数方法的理解，而且将成为一个趋势性事件，导致研究工作的加速，并对数学，教育和科学和工程的不同分支产生更广泛的影响。在全球经济的新时代，任何科学创新都将增加国家的竞争力。随机过程的渐近分析和非参数估计在人类奋进的许多领域都有广泛的应用，它是解决工程和科学中许多复杂问题的一个非常强大的数学工具。近年来，这些领域的研究取得了巨大进展，对数学、物理、社会和生物科学以及工程和技术产生了重大影响。快速的进展需要该领域研究人员之间快速和及时的沟通。该提案旨在将这些领域的主要专家聚集在一起，交流思想，与年轻研究人员互动，并更新最新进展。该提案提出了来自多个机构的研究人员的共同努力，以汇集令人印象深刻的受邀演讲者名单，他们是概率论，随机过程，随机微分方程以及非参数估计理论和相关领域的着名领导者。他们的重要科学贡献促进了这些领域的许多后续进展。此外，一些特邀演讲者是概率和随机过程领域的早期开发者，为当代概率论及其应用奠定了数学基础，特别强调鼓励广泛参与，这对研究界的多样化至关重要。组委会将尽一切努力促进初级研究人员、研究生和代表性不足的群体的研究人员的参与。会议不仅将加深我们对随机过程和非参数统计方法的理解，而且将成为一个引领潮流的事件，加速研究工作，并对数学和应用、教育、以及科学和工程学的不同分支。