Understanding parameter differences between analyses employing nested data subsets

Kavli Affiliate: Anthony Challinor

| First 5 Authors: Steven Gratton, Anthony Challinor, , ,

| Summary:

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.

| Search Query: ArXiv Query: search_query=au:”Anthony Challinor”&id_list=&start=0&max_results=10

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