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Mathematical Biology Seminar: Statistics: Not as Boring as You Might Think!

Christopher K. Wikle, Department of Statistics, University. Missouri

What Seminar
When 21 Oct 2008
from 03:30 pm to 04:30 pm
Where MG 1098
Contact Name Jason Miller
Contact Email
Contact Phone 660.785.7430
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Dr. Wikle writes the following to describe his talk. Here is a snippet of a typical conversation: Joe/Jane Public: “What do you do?”

Stat Professor: “I’m a Statistics Professor at Mizzou”

Joe/Jane Public: “Oh, I’m sorry … I hated Stat.”

Stat Professor: “Why did you hate Statistics?”

Joe/Jane Public: “It was boring.”

Let’s face it; although there are some great teachers of introductory Statistics out there, the material does not easily convey how important and relevant Statistics has become to science and society. In this talk, after a brief historical trip through Statistics land, I’ll give some snapshots of the important research problems that are being conducted in the Department of Statistics at the University of Missouri. These research problems are often motivated by real-world problems in medicine, ecology, wildlife biology, meteorology, climatology, economics, psychology, sociology, and oceanography (to name a few). Indeed, relatively recent revolutions in the statistical sciences have allowed subject matter scientists to consider much more complicated problems than they could have in the past. Such collaborations have, in turn, led to further developments in Statistical methodology. I will also discuss some of the opportunities available to graduate students in Statistics at the University of Missouri.

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This material is based upon work supported by the National Science Foundation's Interdisciplinary Training for Undergraduates in Biology and Mathematics program under Grant No. 0436348, "Research-focused Learning Communities in Mathematical Biology," and Grant No. 0337769, "Mathematical Biology Initiative." Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.