Understanding parameter differences between analyses employing nested data subsets
Instrumentation and Methods for Astrophysics
2020-10-28 v1 Cosmology and Nongalactic Astrophysics
Abstract
We provide an analytical argument for understanding the likely nature of parameter shifts between those coming from an analysis of a dataset and from a subset of that dataset, assuming differences are down to noise and any intrinsic variance alone. This gives us a measure against which we can interpret changes seen in parameters and make judgements about the coherency of the data and the suitability of a model in describing those data.
Cite
@article{arxiv.1911.07754,
title = {Understanding parameter differences between analyses employing nested data subsets},
author = {Steven Gratton and Anthony Challinor},
journal= {arXiv preprint arXiv:1911.07754},
year = {2020}
}
Comments
7 pages, 3 figures