The changing landscape of astrostatistics and astroinformatics [IMA]
Here’s a nice review article about the fields of astrostatistics and astroinformatics. The author, Eric Feigelson, points out that training for astronomers in these areas is relatively weak, and that’s why we at Cardiff are going to launch a couple of new Masters courses in the New Year to provide specialist postgraduate education in these and related topics!
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.
Tue, 20 Dec 16
Comments: 7 pages, to appear in ‘Astroinformatics’, IAU Symposium #325, M. Brescia et al. (eds.), Cambridge University Press (2017)