The Statistics Career Fair will be Monday September 16 in Illini Union 407 from 9am to 12:30pm and from 1:30 to 5pm.
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The Statistics Career Fair will be Monday September 16 in Illini Union 407 from 9am to 12:30pm and from 1:30 to 5pm.
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The Illini Statistics student organization is sponsoring a resume workshop put on by the Career Center next Tuesday.
This should be a good opportunity to learn about putting your resume together or improving your existing resume before the series of career fairs which start the following week.
Be sure to check out the Illini Statistics webpage http://publish.illinois.edu/illinistatistics/ for more info about the organization and upcoming events, and to get involved if you’re not already a member.
Chance News reviews current stories in the news compiled by CAUSEweb that involve probability or statistical concepts. (https://www.causeweb.org/chance)
Contents in Issue #94
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From SAScom magazine…
Learn about the benefits of data visualization in our cover story:Why your brain needs data visualization.
Then see how it’s being used in real-world organizations: Euramax and the Australian Institute of Health and Welfare
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We are extremely proud of Prof. Xiaofeng Shao and this incredible honor! See below.
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Ten faculty have been named Centennial Scholars in honor of the 100th anniversary of the creation of the College of Liberal Arts and Sciences at the University of Illinois.
The faculty come from a wide range of academic units, and they were selected for their scholarly productivity and contributions to the educational mission of the College of LAS. Executive officers also made a point to select faculty who are at the midpoint in their careers and demonstrate exciting potential in their work.
The Centennial Scholars were nominated for the appointment, and a committee submitted recommendations to the dean of the college. Each scholar will hold his or her appointment for three years and receive $10,000 for research during each of those years.
The Centennial Scholars are:
“These scholars represent the best of the liberal arts and sciences at the University of Illinois,” says Brian Ross, interim dean of the College of LAS. “We are thrilled to have them on campus as the college reaches this symbolic milestone.”
(See www.las.illinois.edu/100 for more information.)
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Other departments sometimes offer courses highly related to statistics. One example being offered this Fall 2013 is ECON 490 – U3D: Advanced Topics in Econometrics being taught by Prof. Eun Yi Chung. The description is as follows:
The goal of this course is to develop basic tools to understand and use modern econometric methods. We focus on estimating and making inference for causal effects with a special attention to policy relevant problems. Topics include randomized experiments, natural experiments, matching methods, instrumental variables, and regression discontinuity. We discuss theoretical aspects of these methods with detailed applications.
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Smoothing spline analysis of variance models for electroencephalography data analysis
Speaker: Nathaniel Helwig
Date: June 6, 2013
Time: 4:00 pm – 5:00 pm
Location: 122 Illini Hall (Conference Room)
Sponsor: Statistics Department
Electroencephalography (EEG) data consist of electrical activity recorded over time from electrodes on the scalp. Typical EEG studies collect multi-electrode data from many subjects in attempt to compare differences in brain activity between different subject groups. In this talk, I discuss how smoothing spline analysis of variance (SSANOVA) models can be used to reliably analyze differences EEG data. First, I provide an overview of the SSANOVA framework and discuss the model”s large sample and dimensionality issues. Next, I present some approximations for fitting tensor-product SSANOVA models to large samples. Then, I discuss how two- and three-way SSANOVA models can be used to reliably compare differences in single- or multi-electrode EEG data. I conclude by discussing some methodological and substantive extensions of this work.
Luke Tierney of the University of Iowa will be giving a lecture in Siebel Center on “Some New Developments for the R Engine.” Please see attached document for additional information.