Statistics – Computation
Scientific paper
May 2002
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2002aas...200.6005m&link_type=abstract
American Astronomical Society, 200th AAS Meeting, #60.05; Bulletin of the American Astronomical Society, Vol. 34, p.743
Statistics
Computation
Scientific paper
Data analysis in a Virtual Observatory will require a broad range of applied statistical tools. Towards that end we have been exploring a few software models which will allow astronomers to transparently apply different statistical techniques to large datasets. This includes a prototype web-based service, which will be described in this poster. The backbone of the service will be a combination of existing and well tested computer languages/packages like C, IDL, PERL and R; but it will be flexible enough to allow users to use their own favourite packages as well. We will demonstrate our pipeline and discuss how it fits in well with the evolving VO architecture. This work is produced by an interdisciplinary (computational astrostatistics) collaborative effort supported by the NSF FRG grant DMS-0101360.
Babu Gutti Jogesh
Djorgovski Stanislav G.
Feigelson Eric D.
Mahabal Ashish A.
McDermott James P.
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