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Probabilistic decision-making, data analysis, and discovery in astronomy

Probabilistic decision-making, data analysis, and discovery in astronomy

This video was recorded at Machine Learning Summer School (MLSS), La Palma 2012. Astronomy is a prime user community for machine learning and probabilistic modeling. There are very large, public data sets (mostly but not entirely digital imaging), there are simple but effective models of many of the most important phenomena (stars, quasars, and galaxies), and there are very good models of telescopes, cameras, and detectors. I will show in detail some examples of problems we were able to solve in astrophysics by bringing probabilistic inference and decision theory to astronomy. I will discuss why many "supervised" methods are not nearly as useful in astronomy as those that involve generative modeling. I hope to leave the audience with real research problems, the solutions to which would be... Show More
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