Results 31 to 40 of about 486 (135)

Bayesian Functional Data Analysis in Astronomy

open access: yesPhysical Sciences Forum
Cosmic demographics—the statistical study of populations of astrophysical objects—has long relied on tools from multivariate statistics for analyzing data comprising fixed-length vectors of properties of objects, as might be compiled in a tabular ...
Thomas Loredo   +3 more
doaj   +1 more source

Bayesian Astrostatistics: A Backward Look to the Future [PDF]

open access: yes, 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; and (3) multilevel (hierarchical) Bayesian modeling as a major future direction for research in ...
openaire   +2 more sources

SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications

open access: yesThe Astrophysical Journal Letters, 2023
Flagship near-future surveys targeting 10 ^8 –10 ^9 galaxies across cosmic time will soon reveal the processes of galaxy assembly in unprecedented resolution.
Bingjie Wang   +3 more
doaj   +1 more source

Astrostatistics in Canada

open access: yes, 2019
This state-of-the-profession white paper focuses on the interdisciplinary fields of astrostatistics and astroinformatics, in which modern statistical and computational methods are applied to and developed for astronomical data. Astrostatistics and astroinformatics have grown dramatically in the past ten years, with international organizations ...
Eadie, Gwendolyn   +17 more
openaire   +1 more source

Big data and paradigm shift for astronomy in the 21stcentury

open access: yes大数据, 2016
With the development of large space-based and ground-based observational technologies,the volume,output rate and complexity of astronomical data rapidly increase.The astronomy steps into a new data-intensive era.The characteristics of astronomical data ...
Yanxia ZHANG   +2 more
doaj  

Self-Supervised Learning for Solar Radio Spectrum Classification

open access: yes, 2022
Solar radio observation is an important way to study the Sun. Solar radio bursts contain important information about solar activity. Therefore, real-time automatic detection and classification of solar radio bursts are of great value for subsequent solar
Siqi Li   +4 more
core   +1 more source

Statistical Issues Often Overlooked when Analyzing Astronomical Data

open access: yesThe Astrophysical Journal Supplement Series
The main topics covered in this paper are (1) controlling significance levels when applying the same hypothesis test to many (possibly millions) of datasets; (2) dealing with the fact that for very large datasets hypotheses are rejected for trivially ...
C. Koen
doaj   +1 more source

LRP2020: Astrostatistics in Canada

open access: yes, 2019
White paper E017 submitted to the Canadian Long Range Plan ...
Eadie, Gwendolyn   +18 more
openaire   +2 more sources

Rigorous Analytic Solution to the Gravitational-wave Overlapping Event Rates

open access: yesThe Astrophysical Journal
In the era of the next-generation gravitational-wave detectors, signal overlaps will become prevalent due to the high detection rate and long signal duration, posing significant challenges to data analysis. While effective algorithms are being developed,
Ziming Wang, Zexin Hu, Lijing Shao
doaj   +1 more source

Classification of Chandra X-Ray Sources in Cygnus OB2

open access: yesThe Astrophysical Journal Supplement Series, 2023
We have devised a predominantly Naive Bayes−based method to classify X-ray sources detected by Chandra in the Cygnus OB2 association into members, foreground objects, and background objects.
Vinay L. Kashyap   +13 more
doaj   +1 more source

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