Publikationsdatum:
2016-03-02
Beschreibung:
Author(s): Christopher J. Moore, Christopher P. L. Berry, Alvin J. K. Chua, and Jonathan R. Gair Folding uncertainty in theoretical models into Bayesian parameter estimation is necessary in order to make reliable inferences. A general means of achieving this is by marginalizing over model uncertainty using a prior distribution constructed using Gaussian process regression (GPR). As an example, … [Phys. Rev. D 93, 064001] Published Tue Mar 01, 2016
Schlagwort(e):
General Relativity and Gravitation
Print ISSN:
0556-2821
Digitale ISSN:
1089-4918
Thema:
Physik
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