Results 1 to 10 of about 1,035 (121)
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
doaj +4 more sources
The Data Big Bang and the Expanding Digital Universe: High-Dimensional, Complex and Massive Data Sets in an Inflationary Epoch [PDF]
Advances in Astronomy, Volume 2010, Issue 1, 2010., 2010 Recent and forthcoming advances in instrumentation, and giant new surveys, are creating astronomical data sets that are not amenable to the methods of analysis familiar to astronomers.
McCollum, Bruce +2 more
core +5 more sources
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
core +3 more sources
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
core +2 more sources
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
core +4 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
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 +1 more source
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
core +1 more source