Data-space Validation of High-dimensional Models by Comparing Sample Quantiles

Data-space Validation of High-dimensional Models by Comparing Sample Quantiles

We present a simple method for assessing the predictive performance of high-dimensional models directly in data space when only samples are available. Our approach is to compare the quantiles of observables predicted by a model to those of the observables themselves. In cases where the dimensionalit...

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Bibliographic Details
Main Authors: Stephen Thorp, Hiranya V. Peiris, Daniel J. Mortlock, Justin Alsing, Boris Leistedt, Sinan Deger
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal Supplement Series
Subjects:
Astrostatistics techniques
Bootstrap
Principal component analysis
Redshift surveys
Galaxy photometry
Online Access:https://doi.org/10.3847/1538-4365/ad8ebd
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https://doi.org/10.3847/1538-4365/ad8ebd

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