Mathematical Sciences/GIG: "Group Infrastructure Grant for Stanford Statistics"
Mathematical Sciences/GIG: "Group Infrastructure Grant for Stanford Statistics"
批准号:
9631278
负责人:
Iain Johnstone
金额:
$100.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-09-01 至 2002-08-31
中文摘要
斯坦福大学统计学系将通过发展其基础设施的以下相互关联的方面来加强其研究和研究培训计划:A.跨学科方向的研究生支持。斯坦福大学将在应用领域和先前经验的教员联合任命基础上,扩大跨学科博士的培训。通过支持另外四个学生。在斯坦福大学的相关部门有广泛的教师联系网络,并在课程结构上提供支持,在获得全面的统计研究培训的同时,在应用领域培养能力。B.为妇女和少数民族教师和博士后学者提供的夏季指导计划。该系将继续并扩大一个非常成功的项目,通过让女性、少数族裔教师和博士后学者参与斯坦福大学每年夏天已经很活跃的访问、研讨会和研究项目,帮助她们开启终身教职前的职业生涯。C.计算机基础设施。该部门旨在为其教师,学生和访客提供一个研究计算环境,以实现最大的生产力。国防部将分阶段采购硬件和软件,以支持现有的核心设备。示例包括X终端,以最大限度地提高学生和访问者对计算的访问,以及额外的磁盘和内存,以支持越来越多的内存密集型研究,例如统计图像处理。
英文摘要
The Department of Statistics at Stanford University will enhance its research and research training programs by developing the following, interconnected, aspects of its infrastructure: A. Graduate Student Support with Interdisciplinary Orientation. Building on a base of faculty joint appointments in application areas and prior experience, Stanford will expand its training of interdisciplinary Ph.D.s. by supporting four additional students. There is an extensive network of faculty contacts in relevant departments at Stanford, and support in the curricular structure for building competence in the application area while acquiring a thorough research training in statistics. B. Summer Mentoring programs for Women and Minority faculty and for Post-doctoral scholars. The department will continue and expand a highly successful program to help launch the careers of pre-tenure women and minority faculty and post-doctoral scholars by involving them in the already active program of visitors, seminars and research at Stanford each summer. C. Computer Infrastructure. The department aims to provide a research computing environment for its faculty, students and visitors that enables maximum productivity. The department will acquire hardware and software on a staged basis in support of the core equipment already in place. Examples include X terminals to maximize student and visitor access to computing, and extra disk and memory to support increasingly memory intensive research, such as in statistical image processing.
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New Statistical Challenges Posed by Multiscale and Adaptive Representations
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依托单位:
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