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Tags: Colloquium Series

The Statistics Department hosts weekly colloquia on a variety of statistcal subjects, bringing in speakers from around the world.

Statistics has played a key role in the development and validation of forensic methods, as well as in the inferences (conclusions) obtained from forensic evidence.  Further, statisticians have been important contributors to many areas of science, such as chemistry (chemometrics), biology (genomics), medicine (clinical trials), and agriculture (crop yield), leading to valuable advances that extend to multiple fields (spectral analysis,…
William Brenneman is a Research Fellow at Procter & Gamble in the Global Statistics and Data Management Department and an Adjunct Professor at Georgia Tech in the Industrial and Systems Engineering Department.  Since joining P&G in 2000, he has worked on a wide range of projects that deal with statistics applications in his areas of expertise: design and analysis of experiments, robust parameter design, reliability engineering,…
Many robust tests have been proposed in the literature to compare two hazard rate functions, however, very few of them can be used in cases when there are multiple hazard rate functions to be compared. In this paper, we propose an approach for detecting the difference among multiple hazard rate functions. Through a simulation study and a real-data application, we show that the new method is robust and powerful in many situations, compared with…
Micro-randomized trials are trials in which individuals are randomized 100's or 1000's of times over the course of the study.   The goal of these trials is to assess the impact of momentary interventions, e.g. interventions that are intended to impact behavior over small time intervals.  A fast growing area of mHealth concerns the use of mobile devices for both collecting real-time data, for processing this data and for providing…
Irreproducible biomedical research is particularly concerning because flawed findings have the potential to make their way to clinical studies involving human participants.  Many factors have been suggested as contributors to irreproducibility, including poor study design, analytic instability of measurement methods, sloppy data handling, inappropriate and misleading statistical analysis methods, improper reporting or interpretation of…
http://www.stat.uga.edu/people/student/guannan-wang
https://stat.duke.edu/~berger/
The purpose of the 2014 SAS Data Analytics Shootout problem was to study the effect of various seasonal, economic, demographic, and climatological conditions on crime rates in five large US cities (Atlanta, Chicago, Denver, Houston, and Sacramento). Hourly precinct-level crime records for seven different crime types were provided for each city for different time periods between 2005 and 2012. Demographic and social economic data for each city…

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