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Understanding parameter differences between analyses employing nested data subsets

2019/11/18 by Steven Gratton, Anthony Challinor · 1 citation
Physics and Astronomy · #astro-ph.IM #astro-ph.CO

paper · pdf · doi:10.1093/mnras/staa2996

7 pages, 3 figures

arxiv created 2019/11/18 · arxiv updated 2020/10/28

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.

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