Results 1 to 10 of about 486 (135)
Grand Challenges in Astrostatistics [PDF]
Frontiers in Astronomy and Space Sciences, 2020 Astrostatistics is full of challenges and opportunities. We hope that this section of Frontiers in Astronomy and Space Sciences will become the home of experiments, discussions, propositions, solutions, a place where astronomers and statisticians can come together, where anyone can find research articles, reviews, opinions, codes, tutorials, that could
Didier Fraix-Burnet
exaly +7 more sources
Panel Discussion: The Future of Astrostatistics [PDF]
Lecture Notes in Statistics, 2012 Four experienced astrostatisticians express their views on the promise of astrostatistics in the future: David van Dyk (University College London) discusses massive datasets and complex models, Eric Feigelson (Penn State University) speaks on the past and future of astrostatistics, Thomas Loredo (Cornell University) elucidates fundamentals underlying ...
G. Jogesh Babu
exaly +5 more sources
Data Science Journal, 2015 The fields of Astrostatistics and Astroinformatics are vital for dealing with the big data issues now faced by astronomy. Like other disciplines in the big data era, astronomy has many V characteristics.
Yanxia Zhang, Yongheng Zhao
doaj +2 more sources
Introduction to papers on astrostatistics
Annals of Applied Statistics, 2009 Published in at http://dx.doi.org/10.1214/09-AOAS234 the Annals of Applied Statistics (http://www.imstat.org/aoas/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Michael Stein, Thomas Loredo
exaly +5 more sources
Efficient galaxy classification through pretraining
Frontiers in Astronomy and Space Sciences, 2023 Deep learning has increasingly been applied to supervised learning tasks in astronomy, such as classifying images of galaxies based on their apparent shape (i.e., galaxy morphology classification) to gain insight regarding the evolution of galaxies.
Jesse Schneider +2 more
doaj +1 more source
iid2022: a workshop on statistical methods for event data in astronomy
Frontiers in Astronomy and Space Sciences, 2023 We review the iid2022 workshop on statistical methods for X-ray and γ-ray astronomy and high–energy astrophysics event data in astronomy, held in Guntersville, AL, on Nov. 15–18 2022.
Eric D. Feigelson +1 more
doaj +1 more source
A New Approach to Astronomical Data Analysis Based on Multiple Variables
Advances in Astronomy, Volume 2023, Issue 1, 2023., 2023 Data analysis for a sample of celestial bodies generally is preceded by the completeness test in order to verify whether the sample objects are proper representatives of the corresponding part of the universe. A data set following a multivariate, continuous, uniform distribution is said to be “complete in space.” This paper introduces a new approach to
Prasenjit Banerjee +3 more
wiley +1 more source
Introduction to the Special Section on Astrostatistics
Statistical Science, 2004 Genovese, Chris +2 more
exaly +3 more sources
Special Issue on Astrostatistics [PDF]
CHANCE, 2019 Like most areas of science, astronomy has benefited from a tremendous increase in the amount of available data gathered in recent decades, from both ground- and space-based instruments.
Jessi Cisewski-Kehe, Chad Schafer
openaire +1 more source
Ponderings on the Possible Preponderance of Perpendicular Planets
The Astrophysical Journal Letters, 2023 Misalignments between planetary orbits and the equatorial planes of their host stars are clues about the formation and evolution of planetary systems. Earlier work found evidence for a peak near 90° in the distribution of stellar obliquities, based on ...
Jared C. Siegel +2 more
doaj +1 more source