Thu., Sep. 18: |
Common Exams: 111, 112, 122
See your instructor for time/place.
Fri., Sep. 19: 3:00
David Bortz, University of Colorado, Boulder
Mon., Sep. 22: 3:00
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
The Answer is Blowin' in the Wind
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.
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 climate change information from observation-based data sets and climate models.
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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.
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