Results 1 to 10 of about 350 (111)

Grand Challenges in Astrostatistics [PDF]

open access: yesFrontiers 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   +6 more sources

Panel Discussion: The Future of Astrostatistics [PDF]

open access: yesLecture 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 ...
Gutti Jogesh Babu
exaly   +4 more sources

Introduction to papers on astrostatistics

open access: yesAnnals 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)
Thomas J Loredo, Michael L Stein
exaly   +5 more sources

Special Issue on Astrostatistics [PDF]

open access: yesChance, 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
exaly   +2 more sources

Efficient galaxy classification through pretraining

open access: yesFrontiers 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

open access: yesFrontiers 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

open access: yesAdvances 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

Astronomy in the Big Data Era

open access: yesData 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   +1 more source

The Farmer: A Reproducible Profile-fitting Photometry Package for Deep Galaxy Surveys

open access: yesThe Astrophysical Journal Supplement Series, 2023
While space-borne optical and near-infrared facilities have succeeded in delivering a precise and spatially resolved picture of our Universe, their small survey area is known to underrepresent the true diversity of galaxy populations.
J. R. Weaver   +19 more
doaj   +1 more source

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