Results 31 to 40 of about 486 (135)
Bayesian Functional Data Analysis in Astronomy
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
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Bayesian Astrostatistics: A Backward Look to the Future [PDF]
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
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
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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
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Big data and paradigm shift for astronomy in the 21stcentury
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
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
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Statistical Issues Often Overlooked when Analyzing Astronomical Data
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
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LRP2020: Astrostatistics in Canada
White paper E017 submitted to the Canadian Long Range Plan ...
Eadie, Gwendolyn +18 more
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Rigorous Analytic Solution to the Gravitational-wave Overlapping Event Rates
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
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Classification of Chandra X-Ray Sources in Cygnus OB2
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
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