Results 31 to 40 of about 443 (134)
Statistical Analysis and Data Mining: The ASA Data Science Journal, Volume 17, Issue 1, February 2024.Abstract We propose a simple, statistically principled, and theoretically justified method to improve supervised learning when the training set is not representative, a situation known as covariate shift. We build upon a well‐established methodology in causal inference and show that the effects of covariate shift can be reduced or eliminated by ...
Maximilian Autenrieth +3 more
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Bayesian inference: more than Bayes’s theorem
Frontiers in Astronomy and Space SciencesBayesian inference gets its name from Bayes’s theorem, expressing posterior probabilities for hypotheses about a data generating process as the (normalized) product of prior probabilities and a likelihood function.
Thomas J. Loredo, Robert L. Wolpert
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, 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
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Bayesian Functional Data Analysis in Astronomy
Physical Sciences ForumCosmic 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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LRP2020: Astrostatistics in Canada
, 2019 White paper E017 submitted to the Canadian Long Range Plan ...
Eadie, Gwendolyn +18 more
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Big data and paradigm shift for astronomy in the 21stcentury
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
SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications
The 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
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Statistical Issues Often Overlooked when Analyzing Astronomical Data
The Astrophysical Journal Supplement SeriesThe 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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Classification of Chandra X-Ray Sources in Cygnus OB2
The 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
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Rigorous Analytic Solution to the Gravitational-wave Overlapping Event Rates
The Astrophysical JournalIn 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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