Department of Statistics | CSU Department of Statistics at Colorado State University

Time 2020-12-31 08:03:28

Web Name: Department of Statistics | CSU Department of Statistics at Colorado State University

WebSite: http://www.stat.colostate.edu

ID:151769

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Statistics,CSU,Department,

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Welcome to the Department of Statistics at Colorado State University. Statistics is the science of inferring knowledge from data and describing uncertainty in those inferences. It plays a central role in scientific research, social policy, and governance. The Department of Statistics has a world-class record of success in education, research and service and has an out-sized impact on campus because of its engagement in educating students in all disciplines and interdisciplinary research.New Course Development by Ben PrytherchStatistic Department s Ben Prytherch and Professor Matt Ross (Ecosystem Science and Sustainability) received a $20,000 Digital Learning Initiative grant from the Provost s office to develop three 1-credit, online delivered, freely accessible R courses.  The courses are currently being developed by Statistics students Alex Fout, Connor Gibbs, and Kathleen Wendt (PhD student in HDFS).  The purpose is to serve students and faculty across the university who are teaching or taking classes that involve data analysis using R.  They found that many instructors have been teaching R to their students as a component of their courses.  This creates extra work for instructors and a steeper learning curve for students.  These courses will allow faculty to direct their students to a high-quality set of training materials that will be accessible at any time, regardless of whether students are enrolled, and will free up time in their own classes to teach subject matter instead of teaching coding.Daniel Mork wins College Outstanding Scholar AwardStatistics PhD Student Daniel Mork won the College of Natural Sciences Outstanding Scholar Award. Dan was one of four awardees from the College of Natural Sciences at the 2020 Graduate Student Showcase. Daniel presented his research that focuses on developing new statistical methods to estimate how maternal exposures to environmental chemicals during pregnancy influence birth outcomes. This is joint work with his thesis advisor Ander Wilson.Grant Awarded to Andee KaplanThe goal of this project is to develop a major methodological advancement in the Bayesian entity resolution literature with the extension of current work on streaming record linkage. The new work will allow for a data scenario where duplicates exist within a database (de-duplication) rather than being restricted to duplicates across databases (record linkage). We use recursive Bayes ideas to have near real time updates as more data becomes available (i.e., the streaming context).Streaming Record Linkage for Online Data Deduplication (North Carolina State University Laboratory for Analytic Sciences). PI: Kaplan and Betancourt ($130,351.57; CSU: $90,623.57). Calendar Year 2021Congratulations to our CNS Award WinnersCongratulations to our very own Department of Statistics CNS Award winners! Faculty member Jana Anderson won the Faculty Excellence in Graduate Teaching and/or Mentoring Award. Ph.D. student Alex Fout won the Graduate Student Excellence in Undergraduate Teaching and/or Mentoring Award.Wen Zhou has been elected as a Elected Member of the ISI (International Statistical Institute, https://www.isi-web.org/), one of the oldest community of statisticians since 1885, due to his significant contributions to high dimension data analysis, machine learning, bioinformatics and computational biology. ISI Elected membership is dedicated to those who are established in their careers and have made significant contributions to the statistical profession. Several faculty members in the Department of Statistics at CSU have already been elected as the Elected Member of the ISI. Much of Zhou s work focuses on high-dimensional inference, multivariate time series and factor model, robust inference, and statistical machine learning, particularly with applications in statistical genomics, bioinformatics, quantitative linguistics, and econometrics. The problems of high-dimensional statistical inference have become acute with the explosion of high-throughput sequencing data: an example problem is determining differential expression of genes in a library of size 10,000 based on only a few replicate reads under each experimental condition. The model for each gene’s expression under each condition requires a set of parameters, so that the parametric dimension of the problem is huge and may exceed the sample size. Statistical approaches to these problems require novel methodological developments to handle the large scale, and new theoretical approaches to ensure essential properties like power to detect true discoveries and control on the rate of false discoveries. Zhou pays careful attention to developing these methods and theories under weak technical assumptions, so that the methods are valid under realistic conditions that are biologically relevant. He also ensures that his methods are computationally efficient and available to practitioners through easy-to-use software. Dr. Zhou has made significant contributions to the statistical profession through his research, teaching and services, said Dr. Yehua Li, a professor of statistics at University of California, Riverside, Dr. Zhou has proven himself as a valuable member of the international statistical society. Also, according to Dr. Jean Opsomer, an Elected Member of the ISI and the former head of the Department of Statistics at CSU,  Equally important, he is actively collaborating with researchers in biology and biochemistry who are performing genomics analyses, to ensure that they are using the state-of-the-art statistical methods in this rapidly evolving field and that their results are statistically valid. SOARSStudent Organized Activities and Research Seminars (SOARS) exists to encourage community and scholarship among graduate students in the statistics department and more broadly at Colorado State University. See the SOARS website and full calendar of upcoming events here. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again.

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