| Lynn Elizabeth Eberly | |
| Fields: | Statistics |
| Workplaces: | University of Minnesota |
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| Thesis Title: | Convergence of Interval Estimates From the Gibbs Sampler |
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| Thesis1 Year: | and |
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| Doctoral Advisor: | George Casella |
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Lynn Elizabeth Eberly is a professor of biostatistics in the University of Minnesota School of Public Health,[1] whose research involves longitudinal studies, medical imaging, and other forms of correlated data.
Eberly double-majored in mathematics and German language and literature at Washington University in St. Louis, graduating in 1991.[2] She earned her Ph.D. in statistics from Cornell University in 1997, under the supervision of George Casella,[2]
After graduating from Cornell, she joined the University of Minnesota faculty the same year.[2]
With professor Chap T. Le she is co-author of the textbook Introductory Biostatistics (2nd ed., Wiley, 2016).
In 2014 she was elected as a Fellow of the American Statistical Association "for excellence in statistical methodology related to correlated and medical imaging data; for broad impact in collaborative research and statistical consultation; for leadership in biostatistical core grant and data coordinating center activities; for excellence and innovation in teaching; and for diligence in service to the ASA, her university, and the profession."[3]