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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
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On the future of astrostatistics: statistical foundations and statistical practice [PDF]
, 2012 This paper summarizes a presentation for a panel discussion on "The Future of Astrostatistics" held at the Statistical Challenges in Modern Astronomy V conference at Pennsylvania State University in June 2011.
A Gelman +25 more
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Bayesian astrostatistics: a backward look to the future [PDF]
, 2012 This perspective chapter briefly surveys: (1) past growth in the use of Bayesian methods in astrophysics; (2) current misconceptions about both frequentist and Bayesian statistical inference that hinder wider adoption of Bayesian methods by astronomers ...
A Gelman +41 more
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Introduction to papers on astrostatistics
The Annals of Applied Statistics, 2009 We are pleased to present a Special Section on Statistics and Astronomy in this issue of the The Annals of Applied Statistics. Astronomy is an observational rather than experimental science; as a result, astronomical data sets both small and large ...
Loredo, Thomas J. +2 more
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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
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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
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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
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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
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Some statistical and computational challenges, and opportunities in astronomy [PDF]
, 2004 The data complexity and volume of astronomical findings have increased in recent decades due to major technological improvements in instrumentation and data collection methods.
Babu, G. Jogesh, Djorgovski, S. George
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The Accelerations of Stars Orbiting the Milky Way's Central Black Hole [PDF]
, 2000 Recent measurements, of the velocities of stars near the center of the Milky Way have provided the strongest evidence for the presence of a supermassive black hole in a galaxy, but the observational uncertainties poorly constrain many of the properties ...
A Eckart +22 more
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