Results 41 to 50 of about 486 (135)

The Role of Statistics and Statisticians in the Future of Astrostatistics [PDF]

open access: yesProceedings of the International Astronomical Union, 2014
AbstractGiven the generic definition of statistics, it is clear that astronomers have engaged in statistical analysis of some variety since astronomy first emerged as a science. However, from the early nineteenth century until the beginning of the twenty-first the two disciplines have been somewhat estranged – there was no formal relationship between ...
openaire   +1 more source

Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. II. Hypothesis Testing of Nested Model Components for Poisson Data

open access: yesThe Astrophysical Journal
A novel model of systematic errors for the regression of Poisson data is applied to hypothesis testing of nested model components with the introduction of a generalization of the Δ C statistic that applies in the presence of systematic errors. This paper
Massimiliano Bonamente   +2 more
doaj   +1 more source

Robust Estimates of Orientation between Astrometric Catalogs

open access: yesThe Astronomical Journal, 2023
Accurately comparing two celestial reference frames based on the observed position of a number of common objects requires to detect and appropriately process outliers, lest they spuriously influence the results.
Julien Frouard
doaj   +1 more source

Multifidelity Emulator for Large-scale 21 cm Lightcone Images: A Few-shot Transfer Learning Approach with Generative Adversarial Network

open access: yesThe Astrophysical Journal
Emulators using machine learning techniques have emerged to efficiently generate mock data matching the large survey volume for upcoming experiments, as an alternative approach to large-scale numerical simulations.
Kangning Diao, Yi Mao
doaj   +1 more source

Photometric Redshift Estimation of Quasars by a Cross-modal Contrast Learning Method

open access: yesThe Astronomical Journal
Estimating photometric redshifts (photo- z ) of quasars is crucial for measuring cosmic distances and monitoring cosmic evolution. While numerous point estimation methods have successfully determined photo- z , they often struggle with the inherently ill-
Chen Zhang   +4 more
doaj   +1 more source

A Geometric Approach to Estimate Background in Astronomical Images

open access: yesThe Astrophysical Journal Supplement Series
Estimating the true background in an astronomical image is fundamental to detecting faint sources. In a typical low-photon-count astronomical image, such as in the far- and near-ultraviolet wavelength ranges, conventional methods relying on 3 σ clipping ...
Pushpak Pandey, Kanak Saha
doaj   +1 more source

An Information-based Metric for Observing Strategy Optimization, Demonstrated in the Context of Photometric Redshifts for LSST

open access: yesThe Astrophysical Journal Supplement Series
The observing strategy (OS) of an astronomical survey influences the degree to which its resulting data can be used to accomplish any science goal, necessitating upcoming programs, including those on the Rubin and Roman telescopes, to solicit metrics in ...
Alex I. Malz   +4 more
doaj   +1 more source

Assessing Exoplanetary System Architectures with DYNAMITE Including Observational Upper Limits

open access: yesThe Astronomical Journal
The information gathered from observing planetary systems is not limited to the discovery of planets, but also includes the observational upper limits constraining the presence of any additional planets.
Jamie Dietrich
doaj   +1 more source

Computational AstroStatistics: Fast and Efficient Tools for Analysing Huge Astronomical Data Sources [PDF]

open access: yes, 2006
Invited talk at "Statistical Challenges in Modern Astronomy III" July 18-21 2001.
Nichol, R. C.   +12 more
openaire   +2 more sources

Imputation and estimation under nonignorable nonresponse for household surveys with missing covariate information

open access: yes, 2010
In this paper we develop and apply new methods for handling not missing at random (NMAR) nonresponse. We assume a model for the outcome variable under complete response and a model for the response probability, which is allowed to depend on the outcome ...
Pfeffermann, Danny, Sikov, Anna
core   +1 more source

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