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The changing landscape of astrostatistics and astroinformatics

Published online by Cambridge University Press:  30 May 2017

Eric D. Feigelson
Eric D. Feigelson*
Affiliation:
Center for Astrostatistics and Department of Astronomy and Astrophysics, Pennsylvania State University, University Park PA 16802USA email: [email protected]
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Abstract

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The history and current status of the cross-disciplinary fields of astrostatistics and astroinformatics are reviewed. Astronomers need a wide range of statistical methods for both data reduction and science analysis. With the proliferation of high-throughput telescopes, efficient large scale computational methods are also becoming essential. However, astronomers receive only weak training in these fields during their formal education. Interest in the fields is rapidly growing with conferences organized by scholarly societies, textbooks and tutorial workshops, and research studies pushing the frontiers of methodology. R, the premier language of statistical computing, can provide an important software environment for the incorporation of advanced statistical and computational methodology into the astronomical community.

Keywords

data analysiscosmologystatisticscomputer sciencemachine learninghigh performance computingeducation
Type
Contributed Papers
Information
Proceedings of the International Astronomical Union , Volume 12 , Symposium S325: Astroinformatics , October 2016 , pp. 3 - 9
Copyright
Copyright © International Astronomical Union 2017 

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