A Bayesian quantification of consistency in correlated data sets
We present three tiers of Bayesian consistency tests for the general case of correlated data sets. Building on duplicates of the model parameters assigned to each data set, these tests range from Bayesian evidence ratios as a global summary statistic, to posterior distributions of model parameter di...
Main Authors: | Kohlinger, F, Joachimi, B, Asgari, M, Viola, M, Joudaki, S, Troster, T |
---|---|
Format: | Journal article |
Language: | English |
Published: |
Oxford University Press
2019
|
Similar Items
-
Cosmology from large-scale structure: constraining ΛCDM with BOSS
by: Troster, T, et al.
Published: (2020) -
KiDS-450: The tomographic weak lensing power spectrum and constraints on cosmological parameters
by: Köhlinger, F, et al.
Published: (2017) -
Precision calculations of the cosmic shear power spectrum projection
by: Kilbinger, M, et al.
Published: (2017) -
Bayesian uncertainty quantification for data-driven equation learning
by: Martina-Perez, S, et al.
Published: (2021) -
KiDS-450: Testing extensions to the standard cosmological model
by: Joudaki, S, et al.
Published: (2017)