REVIEW 10 cited by
Fits, and especially linear fits, with errors on both axes, extra variance of the data points and other complications
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
read the original 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.
Forward citations
Cited by 10 Pith papers
-
Model-independent test of the cosmic distance duality relation with recent observational data
Two model-independent methods applied to latest SN and BAO data find the cosmic distance duality relation consistent with observations within 1 sigma and no evidence of violation.
-
Standardizing reverberation-mapped H$\alpha$ and H$\beta$ active galactic nuclei using radius--luminosity relations involving monochromatic and broad H$\alpha$ luminosities
A homogeneous sample of 41 reverberation-mapped AGNs is standardizable via Hα and Hβ radius-luminosity relations, but cosmological constraints are weak.
-
GRB 250706B/C: Insight-HXMT Discovery of a High-Luminosity Burst as a Candidate for Fallback-Regulated Accretion in the Prompt Emission
GRB 250706B/C exhibits temporal features consistent with fallback-regulated accretion operating on a high-luminosity branch in a collapsar.
-
Investigating the cosmic distance duality relation with gamma-ray bursts
Combined gamma-ray burst and multi-probe data show no significant violation of the cosmic distance duality relation and prefer a Planck-like Hubble constant.
-
Self-organized critical characteristics of teraelectronvolt photons from GRB 221009A
Waiting times of TeV photons from GRB 221009A show power-law and scale-invariant statistics, which the authors interpret as self-organized critical behavior with non-independent photon emission.
-
On the correlation between X-rays and TeV gamma-rays in HBL Blazars
Long-term X-ray and TeV gamma-ray fluxes are linearly correlated in most HBL blazars, with steeper indices for Mrk 501 and the 2006 PKS 2155-304 flare.
-
Deep Learning Calibration of the Quasar X-ray/UV Luminosity Relation for Cosmological Applications
Quasar X-ray/UV luminosity relation shows non-linear redshift dependence that cannot be fixed by linear correction and requires further modeling or data screening for cosmological use.
-
Testing cosmic anisotropy with the Combo correlation of gamma-ray bursts
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 ...
-
Spectral Energy Correlations of Gamma-Ray Bursts from Structured Jets
Rescaling 148 GRBs to assumed on-axis values makes their energy correlations steeper and their Hubble diagrams tighter, but the steepening largely follows from the common rescaling factor applied to every quantity.
-
Gamma-Ray Bursts Calibrated from the Observational $H(z)$ Data in Artificial Neural Network Framework
ANN-calibrated gamma-ray burst distances, combined with Pantheon+ and DESI BAO, favor LambdaCDM over wCDM/CPL, with Omega_m ~ 0.33 and h ~ 0.73 for the DESI combination.
Discussion (0). Continue with ORCID to comment.