Results 111 to 120 of about 443 (134)

Basics of Astrostatistics

open access: yes, 2020
This chapter introduces the key statistical concepts that are necessary to understand and analyze high-energy astronomical data. Our goal is to present enough information such that a reader may learn to judge the quality of their inferences and properly evaluate claims made in the literature. We first describe the role played by statistical methodology
Vinay L Kashyap, Kashyap Vinay L
exaly   +3 more sources

Astrostatistics and Data Mining

open access: yesSpringer Series in Astrostatistics, 2012
This volume provides an overview of the field of Astrostatistics understood as the sub-discipline dedicated to the statistical analysis of astronomical data. It presents examples of the application of the various methodologies now available to current open issues in astronomical research.
Sarro, Luis   +3 more
exaly   +3 more sources

Astrostatistics.

open access: yesBiometrics, 1996
G. J. Babu, E. D. Feigelson
exaly   +3 more sources

Astrostatistics for luminosity calibration in the Gaia era

open access: yesEAS Publications Series, 2014
With Gaia currently in nominal mission mode and sending data to earth, the challenge for the astronomical community is to prepare for the use of what will be at the time of release one of the largest and most complex astronomical catalogues ever produced.
X Luri, F Arenou, E Masana
exaly   +3 more sources

Astrostatistics

open access: yes, 2011
Feigelson Eric D
exaly   +3 more sources

Special Issue on Astrostatistics

open access: yesStatistical Analysis and Data Mining, 2013
Axel Gandy, Roberto Trotta
exaly   +4 more sources

The Future of Astrostatistics

open access: yes, 2017
Joseph M Hilbe, Rafael S De Souza
exaly   +3 more sources

Editorial for the special issue on astrostatistics

open access: yesStatistical Methodology, 2012
Fionn Murtagh, Jean-Luc Starck
exaly   +3 more sources

Astrostatistics in the International Arena

open access: yes, 2012
It was not until the last decades of the twentieth century that computing power and memory allowed the development of statistical software that was rigourous enough to entice astronomers to again become interested in statistics. During the 1990s, personal computers allowed estimation of continually sophisticated iterative statistical routines that ...
Joseph M. Hilbe
openaire   +2 more sources

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