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Fits, and especially linear fits, with errors on both axes, extra variance of the data points and other complications

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abstract

The aim of this paper, triggered by some discussions in the astrophysics community raised by astro-ph/0508529, is to introduce the issue of `fits' from a probabilistic perspective (also known as Bayesian), with special attention to the construction of model that describes the `network of dependences' (a Bayesian network) that connects experimental observations to model parameters and upon which the probabilistic inference relies. The particular case of linear fit with errors on both axes and extra variance of the data points around the straight line (i.e. not accounted by the experimental errors) is shown in detail. Some questions related to the use of linear fit formulas to log-linearized exponential and power laws are also sketched, as well as the issue of systematic errors.

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2026 4

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Testing cosmic anisotropy with the Combo correlation of gamma-ray bursts

astro-ph.CO · 2026-05-27 · unverdicted · novelty 4.0

Larger sample of 244 GRBs with Combo correlation shifts best-fit anisotropy longitude by 54° from Pantheon-only result and deviates >1σ in hemisphere method, unlike smaller A118 sample, indicating potential to reduce fake signals from inhomogeneous distributions.

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