Statistical Methodology and Applications for Cold Regions Research

首席研究员，统计学副教授，将在科罗拉多博尔德的北极和高山研究所（INSTAAR）度过她的IGMS奖的11个月。 在此期间，她将专注于学习和发展冰川学和其他寒冷地区研究中使用的地球物理学的工作知识。寒冷地区的研究人员最近才获得了收集大量数据的技术。然而，从历史上看，统计学家和寒冷地区研究人员之间很少有互动，因此这些大型数据集的统计建模很少。大多数数据具有时空结构，存在数据缺失和测量误差等问题。 虽然存在解决这些问题的统计技术，但寒冷地区的研究人员并不熟悉这些技术。同样，统计人员要了解数据生成机制背后的科学，需要花费大量的时间和精力。该奖项将允许PI在专门从事寒冷地区研究的研究所度过近一年的时间。PI将参加课程和研讨会，随着她对这些项目背后科学的理解加深，她将能够更好地分析这些项目产生的数据。她还将在INSTAAR教授研究生研讨班课程，并与INSTAAR的研究人员合作开发研究项目。回到怀俄明州大学后。PI计划利用她通过IGMS奖获得的经验和知识，进一步开发跨学科研究机会，并为统计学、地质学和地球物理学以及其他学科的学生开发和提供跨学科培训 该IGMS项目由MPS多学科活动办公室（OMA）和数学科学部（DMS）共同支持。

The Principal Investigator, an Associate Professor of Statistics, will spend the 11 months of her IGMS award at the Institute of Arctic and Alpine Research (INSTAAR) in Boulder, Colorado. During this time, she will concentrate on learning and developing a working knowledge of the geophysics used in glaciology and other cold regions research. Cold regions researchers have only recently acquired the technology to gather large amounts of data. However, historically, there has been little interaction between statisticians and cold regions researchers, so that there is little statistical modeling of these large data sets. Most of the data have a spatial-temporal structure, with problems such as missing data and measurement errors. While the statistical techniques to address these issues exist, these are not familiar to the cold regions researchers. Similarly, the time and effort required for a statistician to understand the science behind the data generating mechanisms is substantial. This award will allow the PI to spend almost a year at an institute which specializes in cold regions research. The PI will attend courses and seminars and as her understanding of the science underlying these projects deepens, she will be better able to analyze the data resulting from these projects. She will also teach a seminar course for graduate students at INSTAAR, and develop collaborative research projects with researchers at INSTAAR. Upon returning to the University of Wyoming. the PI plans on using her experience and knowledge gained through this IGMS award to further develop interdisciplinary research opportunities and to develop and provide interdisciplinary training for students in Statistics, Geology and Geophysics and other disciplines This IGMS project is jointly supported by the MPS Office of Multidisciplinary Activities (OMA) and the Division of Mathematical Sciences (DMS).