REU Site: Rice University Summer Institute of Statistics (RUSIS)

该奖项提供了一个成功的10周的夏季REU网站在莱斯大学统计系内的统计研究及其应用的持续支持。随着国内数学科学研究生人数的持续下降，迫切需要开发人力资源，以继续支持美国在世界科技领域的优势。莱斯大学夏季统计研究所（RUSIS）成功地鼓励学生攻读数学和统计学研究生学位。大约85%的学生谁参加了RUSIS和毕业，现在是博士研究生在博士。全国各地的计划，其中大约61%是数学代表性不足的人口的成员。RUSIS通过强化课程，密切监督研究项目，并访问休斯顿的各种研究机构和机构来实现这一目标。具体而言，该计划培训和导师17（12个NSF和5个NSA支持）选择了代表性不足的少数民族学生和学生在他们的机构，包括社区大学的学生，通过概率，随机过程和统计推断的密集核心课程，特别强调当前感兴趣的领域。(e.g.多重比较、极值理论、多变量生存分析、复杂基础设施系统的风险-可靠性-可持续性、人工智能、统计学习、统计遗传学和一般生物统计学）。 在与教师导师的密切合作下，让学生参与研究项目，并以制作联合出版物为目标。学生们在全国会议上介绍他们的成果，他们在准备和介绍他们的谈话指导。此外，学生会见由顶尖科学家组成的咨询委员会，并向他们介绍他们的工作。 教授关于使用Unix平台，LaTeX和用于研究目的的软件（如Mathematica，Splus和/或R和Matlab）的短期课程;组织学生和教师参观科学设施（例如，生物数学和生物统计学在MD安德森癌症中心，美国宇航局）和一系列讲座，由杰出的科学家，是预定的。这些讲座涵盖了各种主题，从申请研究生院到杰出科学家的职业经历，以及统计学前沿主题的讨论。评估和监测学生的进展为七年（预计时间为他们完成研究生院）后，他们的参与;由参与的学生和外部咨询委员会的程序的年度评估是该计划的一个组成部分和宝贵的一部分。

This award provides continued support for a successful 10-week summer REU site within the Statistics Department at Rice University for the study of Statistics and its applications. As the number of domestic graduate students in the Mathematical Sciences continues to decline, there is a critical need to develop human resources to continue supporting the United States' advantage in the world of science and technology. The Rice University Summer Institute of Statistics (RUSIS) has been successful in encouraging students to pursue graduate degrees in Mathematics and Statistics. Roughly 85% of the students who have attended RUSIS and have graduated, are now doctoral students in Ph.D. programs around the country, and roughly 61% of them are members of underrepresented populations in Mathematics. RUSIS has accomplished this through intensive courses, close supervision of research projects, and visits to various research institutes and agencies in Houston. Specifically, the program Trains and mentors 17 (12 NSF- and 5 NSA-supported) selected underrepresented minority students and students with no easy access to a career experience at their institution, including community college students, through intensive core courses in probability, stochastic processes, and statistical inference, with special emphasis on areas of current interest. (e.g. multiple comparisons, extreme value theory, multivariate survival analysis, risk-reliability-sustainability of complex infrastructure systems, artificial intelligence, statistical learning, statistical genetics, and general biostatistics). Engages the students in research projects under close collaboration with faculty mentors, and with the objective of producing joint publications. Students present their results at national meetings and they are mentored in the preparation and presentation of their talks. In addition, students meet with an advisory committee composed of top scientists and present their work to them. Teaches short courses on the use of Unix platforms, LaTeX, and software to be utilized for research purposes such as Mathematica, Splus and/or R, and Matlab; Organizes student and faculty visits to scientific facilities (e.g., Biomathematics and Biostatistics at MD Anderson Cancer Center, NASA) and a series of lectures, by distinguished scientists, is scheduled. These lectures cover a variety of topics ranging from applying to Graduate School to career experiences by outstanding scientists, and discussion of cutting-edge topics in Statistics. Evaluates and monitors the progress of students for seven years (expected time for them to finish graduate school) after their participation; annual evaluation of the program by the participating students and an external advisory committee is an integral and valuable part of the program.