Welcome to AMS
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Upcoming Events

Thu., Sep. 18: 
Common Exams: 111, 112, 122
See your instructor for time/place.

Fri., Sep. 19: 3:00
AMS Colloquium
David Bortz, University of Colorado, Boulder

Mon., Sep. 22: 3:00
Tea Time
Join us for coffee/tea, cookies and good conversation!

Thu., Sep. 25: 4:00
Special AMS Colloquium
Ian Sloan, University of New South Wales, Sydney Australia

Interested in math or statistics but just not sure where to go from here?
Explore the possibilities:    

Careers in Math or Statistics       Majoring in Applied Mathematics       Majoring in Statistics

Math/Stat Moments

The Answer is Blowin' in the Wind

Climate Change

Climate change is definitely a hot topic (no pun intended) and the debate can be lively, at least in political circles.  However, consensus may be on the way, thanks to statistics.  In a paper published last December in the SIAM Journal on Uncertainty Quantification authors Matthew Heaton, Tamara Greasby, and Stephen Sain propose a statistical model that consolidates climate change information from observation-based data sets and climate models.  Their model allows the final data product to provide an aggregate measure of climate rather than be restricted to individiual weather data sets.

For more information on their climate change research, click here.  For more information on Uncertainty Quantification, check with our own resident expert, Prof. Paul Constantine.

In a paper published last December in the SIAM Journal on Uncertainty Quantification, authors Matthew Heaton, Tamara Greasby, and Stephan Sain propose a statistical hierarchical Bayesian model that consolidates information from observation-based data sets and .

Read more at:

Spotlight on AMS

Welcome to Aaron Porter

Join us in welcoming Professor Aaron Porter as Assistant Professor in Applied Mathematics & Statistics.  Aaron joins us from a postdoctoral fellowship position in the University of Missouri Department of Statistics.  His interests have primarily focused on research that is spatial and spatio-temporal in nature.  His emphases are on geostatistical and lattice data, with applications to infectious disease modeling, small area estimation, big data and environmental data.  In his spare time Aaron enjoys running and the arts, particularly drawing and making things with his hands.

Check out the opportunities inside AMS or Ask Us if you have any questions.

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