Results 1 to 10 of about 13 (12)
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
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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 Astrophysical Journal Supplement Series, 2023 Cosmology constraints serve as a crucial criterion in discriminating cosmological models. The traditional combined method to constrain the cosmological parameters designates the corresponding theoretical value and observational data as functions of ...
Wei Hong +4 more
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The Astrophysical Journal, 2023 In this empirical work, we aim to quantify the systematic uncertainties in stellar-mass ( M _⋆ ) estimates made from spectral energy distribution (SED) fitting through stellar population synthesis (SPS) for galaxies in the local Universe by using the ...
M. Burak Dogruel +6 more
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The Astrophysical Journal Supplement Series, 2023 The Gaussian process (GP) has gained much attention in cosmology due to its ability to reconstruct cosmological data in a model-independent manner. In this study, we compare two methods for GP kernel selection: approximate Bayesian computation (ABC ...
Hao Zhang +3 more
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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
The Astrophysical Journal Supplement SeriesThe 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
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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
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Squeezing Full-shape Dynamical Dark Energy Constraints with Galaxy Alignments
The Astrophysical Journal LettersRecent 2 σ –4 σ deviations from the cosmological constant ${\rm{\Lambda }}$ suggest that dark energy (DE) may be dynamical, based on baryon acoustic oscillations and full-shape galaxy clustering (FS GC) analyses.
Junsup Shim +2 more
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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