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Statistics Colloquium/2015 Alumni Achievement Award
October 23 (Fri) 11 a.m.
Alavi Commons Room, 6625 Everett Tower
Chad Schafer
Department of Statistics
Carnegie Mellon University
The rapid growth of astronomical data sets, coupled with the complexity of the questions scientists seek to answer with these data, creates an increasing need for the utilization of advanced statistical inference methods in astrophysics. This talk focuses on situations where the underlying objective is the estimation of cosmological parameters, the key physical constants that characterize the Universe. Due to the complex relationship between these parameters and the observable data, the goal of estimating cosmological parameters is best divided into three stages. This talk will present typical statistical challenges faced when working on problems at each of these stages, along with some astronomical background.
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All statistics students are expected to attend.