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July 6th, 2007
University at Albany faculty Kevin Knuth and Ariel Caticha of the Department of Physics, and Carlos Rodriguez of Mathematics and Statistics, are among the organizers of an international science and math conference that runs July 8-13 in Saratoga Springs.
The conference will explore the use of Bayesian and maximum entropy methods in science and engineering. Bayesian probability theory is an extension of logic where probability describes the degree to which one's state of knowledge implies a proposition. Maximum entropy methods are used to express one's state of knowledge as probabilities when certain constraints are known. The two methodologies work in concert to enable one to make logical inferences given both prior knowledge and data. These methods are of interest to those across a wide cross section of sciences, including astronomy, genetics, medical imaging, nanoscience, particle physics, engineering and robotics.
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