Astrostatistics distributions - Open Access .click

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Quantification of High-dimensional Non-Gaussianities and Its Implication to Fisher Analysis in Cosmology [PDF]

The Astrophysical Journal, 2023
It is well known that the power spectrum is not able to fully characterize the statistical properties of non-Gaussian density fields. Recently, many different statistics have been proposed to extract information from non-Gaussian cosmological fields that
Core Francisco Park +3 more
doaj +2 more sources

Coronal Heating as Determined by the Solar Flare Frequency Distribution Obtained by Aggregating Case Studies

The Astrophysical Journal, 2023
Flare frequency distributions represent a key approach to addressing one of the largest problems in solar and stellar physics: determining the mechanism that counterintuitively heats coronae to temperatures that are orders of magnitude hotter than the ...
James Paul Mason +1001 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

Characterizing the Conditional Galaxy Property Distribution Using Gaussian Mixture Models

The Astrophysical Journal, 2023
Line-intensity mapping (LIM) is a promising technique to constrain the global distribution of galaxy properties. To combine LIM experiments probing different tracers with traditional galaxy surveys and fully exploit the scientific potential of these ...
Yucheng Zhang +7 more
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The Data Big Bang and the Expanding Digital Universe: High‐Dimensional, Complex and Massive Data Sets in an Inflationary Epoch

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. Traditional methods are often inadequate not merely because of the size in bytes of the data sets, but also because of the complexity of modern data sets.
Meyer Z. Pesenson +3 more
wiley +1 more source

Rigorous Analytic Solution to the Gravitational-wave Overlapping Event Rates

The 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

Robust joint modelling of sparsely observed paired functional data

Canadian Journal of Statistics, Volume 52, Issue 3, Page 734-754, September 2024.
Abstract A reduced‐rank mixed‐effects model is developed for robust modelling of sparsely observed paired functional data. In this model, the curves for each functional variable are summarized using a few functional principal components, and the association of the two functional variables is modelled through the association of the principal component ...
Huiya Zhou, Xiaomeng Yan, Lan Zhou
wiley +1 more source

Statistical Properties of a Polarization Vector’s Ellipticity Angle

The Astrophysical Journal
The orientation of a polarization vector on the Poincaré sphere is defined by its position angle (PA) and ellipticity angle (EA). The radio emission from pulsars, magnetars, and fast radio bursts can be elliptically polarized, and measurements of the EA ...
M. M. McKinnon
doaj +1 more source

Stratified learning: A general‐purpose statistical method for improved learning under covariate shift

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
wiley +1 more source

Rare Event Classification with Weighted Logistic Regression for Identifying Repeating Fast Radio Bursts

The Astrophysical Journal
An important task in the study of fast radio bursts (FRBs) remains the automatic classification of repeating and nonrepeating sources based on their morphological properties. We propose a statistical model that considers a modified logistic regression to
Antonio Herrera-Martin +10 more
doaj +1 more source

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