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Activity Number: 400
Type: Invited
Date/Time: Tuesday, August 11, 2015 : 2:00 PM to 3:50 PM
Sponsor: General Methodology
Abstract #314205 View Presentation
Title: Uncertainty Quantification for Massive Data Problems with Application to Solar Physics
Author(s): Thomas C.M. Lee and Jan Hannig* and Randy C.S. Lai
Companies: UC Davis and The University of North Carolina at Chapel Hill and UC Davis
Keywords: distributed computing ; extreme values ; generalized fiducial inference ; parallel computing ; solar flares ; sunspots
Abstract:

NASA's Atmospheric Imaging Assembly (AIA) on the Solar Dynamics Observatory produces about 3TB data per day in the form of high resolution images. These data are instrumental to the understanding of the Sun's influence on Earth and near-Earth space. Given their massiveness and complexity, these data present many statistical challenges. In this talk we describe our ongoing work in using generalized fiducial inference to quantify the estimation uncertainty for model parameters of interest. This is joint work with Jan Hannig and Randy Lai.

Authors who are presenting talks have a * after their name.

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