An Interdepartmental Computing Environment for Statistical Research

统计研究的跨部门计算环境

• 批准号: 0723301
• 负责人: Renate Mittelmann
• 金额: $ 5万
• 依托单位: Arizona State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-01 至 2008-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0723301&HistoricalAwards=false
• 关键词: Interdepartmental; Computing; Environment; Statistical; Research

With support from the NSF SCREMS program, the Committee on Statistics at Arizona State University will purchase nodes in the university?s Fulton High Performance Computing Initiative that will guarantee access to high performance computing resources as well as dedicated server facilities. The equipment will be used for projects involving the development of parallel computing methods for a number of different statistical research problems including: i) computations for high-dimensional or sparse contingency tables, ii) constructing optimal designs for multilevel/multiresponse experiments with complex constraints, iii) constructing haplotypes from genotype data, iv) testing independence of parallel random number streams, v) developing resampling methods for inference in small area estimation with complex survey data, vi) implementing nonstationary multivariate spatio-temporal models using Monte Carlo Markov Chain methods, vii) developing new data mining methods and viii) estimation of non-standard (non-normal type) mixture models. The research enabled by the new equipment will provide a basis for future developments and research collaborations in many scientific areas. Statistical researchers at Arizona State University are housed in 7 different departments on 2 campuses. They are united through the framework of the university?s Committee on Statistics. The SCREMS-funded equipment will allow the Committee members to have a common computing environment for use in research and in training undergraduate and graduate students in statistics. Arizona State University statisticians are heavily involved in research that requires intensive computation. The new computing system will allow statistics students and faculty to have a common, state-of-the-art, framework for their research and to participate in the development of new computational methods for statistical design and analysis. Many of the Committee on Statistics faculty have close interdisciplinary connections, collaborating on problems in agriculture, biology, business, computer science, ecology, education, engineering, genetics, law, psychology, sociology and other areas. The computing equipment from this grant will allow the researchers to work on new computationally-intensive statistics methods for problems including: obtaining more accurate point and interval estimates for school-age poverty at the county level using data from the American Community Survey; studying how land management policies affect the spatial distribution of contaminants in soil; detecting diseases in MRI scans, attacks in computer networks, or deliberately released biological pathogens in the atmosphere; and constructing more efficient experimental designs for improving quality in industry.

在NSF SCREMS计划的支持下，亚利桑那州州立大学的统计委员会将在大学购买节点？的富尔顿高性能计算计划，该计划将保证获得高性能计算资源以及专用服务器设施。这些设备将用于涉及为若干不同的统计研究问题开发并行计算方法的项目，包括：i）计算高维或稀疏列联表，ii）构建具有复杂约束的多级/多响应实验的最优设计，iii）从基因型数据构建单体型，iv）测试并行随机数流的独立性，v）开发用于复杂调查数据的小区域估计的推理的RESISTANCE方法，vi）使用Monte Carlo马尔可夫链方法实现非平稳多变量时空模型，vii）开发新的数据挖掘方法和viii）非标准（非正态类型）混合模型的估计。新设备所实现的研究将为许多科学领域的未来发展和研究合作提供基础。 亚利桑那州立大学的统计研究人员分布在两个校区的7个不同的部门。他们是通过大学的框架联合起来的？s统计委员会。SCREMS资助的设备将使委员会成员有一个共同的计算环境，用于研究和培训统计专业的本科生和研究生。亚利桑那州立大学的统计学家们大量参与了需要密集计算的研究。新的计算系统将使统计学专业的学生和教师有一个共同的，国家的最先进的，他们的研究框架，并参与统计设计和分析的新的计算方法的发展。统计委员会的许多教师有密切的跨学科联系，在农业，生物学，商业，计算机科学，生态学，教育，工程，遗传学，法律，心理学，社会学和其他领域的问题合作。该补助金的计算设备将使研究人员能够研究新的计算密集型统计方法，包括：使用美国社区调查的数据获得县级学龄贫困的更准确的点和区间估计;研究土地管理政策如何影响土壤中污染物的空间分布;在MRI扫描中检测疾病，计算机网络中的攻击或故意在大气中释放的生物病原体;以及构建更有效的实验设计以提高工业质量。