Campuses:

statistics

Thursday, April 22, 2010 - 7:00pm - 8:00pm
Nancy Reid (University of Toronto)
This question appeared in a recent newspaper headline, but was based on a study involving only 14 people. How can we interpret the statistics behind headlines? What does statistically significant really mean? How do statistics get manipulated to further an agenda? The field of statistics is essential to understanding most current issues. It informs economics, health care, and environmental protection. The speaker calls statistics mathematical social work; it helps science progress, so it is important to understand its power.
Tuesday, February 23, 2016 - 7:00pm - 8:30pm
Lillian Lee (Cornell University)
Science fiction promises that someday we will have machines that talk to us. With Siri on the iPhone and Watson beating human champions at Jeopardy, is that future finally here? Not yet because getting computers to truly understand language is hard, even though most 2-year-olds manage to do it as a matter of course. This lecture will introduce the science behind language technologies – including the central role of probability and statistics – and illustrate why understanding human language is still such a difficult problem.
Monday, April 20, 2015 - 2:00pm - 2:45pm
Paul Zorn (St. Olaf College)
The need for more students to enter the workforce well equipped with mathematics and statistics skills has been acknowledged in many recent reports. Addressing this need will require action by all stakeholders involved or interested in students' preparation for present and future workforce demands.
Monday, March 26, 2012 - 11:15am - 12:00pm
Alexander Smola (Yahoo! Inc.)
Wednesday, July 16, 2008 - 2:00pm - 2:10pm
Bjorn Birnir (University of California)
Starting with a swirling flow we prove the existence
of unique turbulent
solutions of the stochastically driven Navier-Stokes equation
in three dimensions.
These solutions are not smooth but Hölder continuous with index
1/3. The turbulent
solutions give the existence of an invariant measure that
determines
the statistical theory of turbulence including Kolmogorov´s
scaling laws. We will
discuss how the invariant measure can be approximated leading
to a implicit formula
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