arXiv · 1911.07754
Understanding parameter differences between analyses employing nested data subsets
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.
Explore related subjects
Keep this discovery
Steven Gratton, Anthony Challinor. 2019-11-18. Understanding parameter differences between analyses employing nested data subsets. https://doi.org/10.1093/mnras%2Fstaa2996
Cite the original work for its findings. Save a collection to share your selection of sources.