Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. II. Hypothesis Testing of Nested Model Components for Poisson Data by Massimiliano Bonamente, Dale Zimmerman, Yang Chen

Subjects: “…Astrostatistics…”
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A Geometric Approach to Estimate Background in Astronomical Images by Pushpak Pandey, Kanak Saha

Subjects: “…Astrostatistics techniques…”
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High-energy Neutrino Source Cross-correlations with Nearest-neighbor Distributions by Zhuoyang Zhou, Jessi Cisewski-Kehe, Ke Fang, Arka Banerjee

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Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models by Duo Xu, Jenna Karcheski, Chi-Yan Law, Ye Zhu, Chia-Jung Hsu, Jonathan C. Tan

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TransformerPayne: Enhancing Spectral Emulation Accuracy and Data Efficiency by Capturing Long-range Correlations by Tomasz Różański, Yuan-Sen Ting, Maja Jabłońska

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A Multiple-detection-heads Machine Learning Algorithm for Detecting White Dwarfs by Jiangchuan Zhang, Yude Bu, Mengmeng Zhang, Duo Xie, Zhenping Yi

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Maximum-likelihood Regression with Systematic Errors for Astronomy and the Physical Sciences. I. Methodology and Goodness-of-fit Statistic of Poisson Data by Massimiliano Bonamente, Yang Chen, Dale Zimmerman

Subjects: “…Astrostatistics…”
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Distributions of Wide Binary Stars in Theory and in Gaia Data. I. Generalized Ambartsumian (1937) Approach and the Family of Power-law Distributions of Eccentricity by Valeri V. Makarov

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