Abstract Details
|
Activity Number:
|
577
|
|
Type:
|
Invited
|
|
Date/Time:
|
Thursday, August 7, 2014 : 8:30 AM to 10:20 AM
|
|
Sponsor:
|
ASA
|
|
Abstract #314121
|
View Presentation
|
|
Title:
|
Big Data and Complex Modeling Challenges in Astronomy and Solar Physics
|
|
Author(s):
|
David Van Dyk*+
|
|
Companies:
|
Imperial College London
|
|
Keywords:
|
|
|
Abstract:
|
In recent years, technological advances have dramatically increased the quality and quantity of data available to astronomers. Newly launched or soon-to-be launched space-based telescopes are tailored to data-collection challenges associated with specific scientific goals. These instruments provide massive new surveys resulting in new catalogs containing terabytes of data, high resolution spectrography and imaging across the electromagnetic spectrum, and incredibly detailed movies of dynamic and explosive processes in the solar atmosphere. These new data streams are helping scientists make impressive strides in our understanding of the physical universe, but at the same time generating massive data-analytic and data-mining challenges for scientists who study the resulting data. This talk will give an overview of a number of statistical challenges that arise form big data and complex models in astronomy and solar physics.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2014 program
|
2014 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Professional Development program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.