37th Conference on Stochastic Processes and their Applications

该奖项支持约20名美国年轻研究人员参加将于2014年7月28日至8月1日在阿根廷布宜诺斯艾利斯举行的第37届随机过程及其应用会议(SPA)。会议由国际统计研究所伯努利学会主办，数理统计研究所协办。SPA会议传统上涵盖了理论和应用概率、随机过程和统计力学等广泛的当前研究主题。本版的核心包括离散空间中随机过程的比例限制，如相互作用的粒子系统和统计物理的模型。排除过程、渗流和伊辛等模型导致了由偏微分方程组或特殊偏微分方程组所支配的连续体，其中KPZ方程和SLE成为最相关的极限对象。更多的应用主题，如神经科学和自适应动力学的数学模型，以及玻尔兹曼方程、老化、流体动力学极限和自旋玻璃也得到了很好的表达。除了杰出演讲者的全体演讲外，年轻的研究人员、博士后和研究生将有时间展示他们的结果，并与彼此和专家互动。这些人说，随机建模已经变得无处不在。真实感建模是在最小的比例下进行的，这样很容易理解物理过程。但人们经常会问，在更大的范围内会发生什么。这种转变涉及到比例限制，在这个过程中会出现某些普遍的行为。不同的微观模型在宏观尺度上表现出相似的定性行为。从数学的角度理解这种普遍性的概念是很重要的。噪声或随机性存在于微观层面，虽然往往在大范围内受到抑制，但有时会持续存在。当它发生时，这种噪声的统计数据显示了一种普遍的行为，了解在给定情况下会发生什么是很重要的。最近在这些方面取得了相当大的进展，这引起了轰动。会议将提供一个学习和交流意见的论坛。会议网址：mate.dm.uba.ar/~probab/spa2014/about.html

This award supports the participation of approximately twenty young U.S. researchers in the 37th Conference on Stochastic Processes and their Applications (SPA), to be held July 28-August 1, 2014, in Buenos Aires, Argentina. The meeting is organized under the auspices of the Bernoulli Society of the International Statistics Institute, and co-sponsored by the Institute of Mathematical Statistics. SPA conferences traditionally cover a wide range of current research topics in theoretical and applied probability, stochastic processes and statistical mechanics. The core of the present edition consists of scaling limits for random processes in discrete space, like interacting particle systems and models from Statistical Physics. Models such as exclusion processes, percolation and Ising give rise to continuum objects governed by PDEs or SPDEs, with the KPZ equation and the SLE emerging as the most relevant limiting objects. More applied topics as neuroscience and mathematic models for adaptive dynamics are also well represented, as well as Boltzmann equations, aging, hydrodynamic limits and spin glasses. In addition to plenary lectures by distinguished speakers there will time for young researchers, post docs and graduate students to present their results and interact with each other and with the experts.Stochastic modeling has become ubiquitous these says. Realistic modeling is done at the smallest scale where it is easy to understand the physical process. But questions are often asked about what happens in a much larger scale. The transition involves a scaling limit and in this process certain universal behavior emerges. Different models at the micro level exhibit similar qualitative behavior at the macro scale. This notion of universality is important to understand from a mathematical point of view. The noise or randomness present at the micro level, while it is often suppressed in large scales, sometimes persists. When it does, the statistics of this noise shows a universal behavior, and it is important to understand what to expect in a given situation. There has been considerable progress recently along these lines and this has created a buzz. The conference will provide a forum for learning and exchanging ideas about them.Meeting web site: mate.dm.uba.ar/~probab/spa2014/about.html