Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-dimensional Data-driven Priors for Inverse Problems

Bayesian inference for inverse problems hinges critically on the choice of priors. In the absence of specific prior information, population-level distributions can serve as effective priors for parameters of interest. With the advent of machine learning, the use of data-driven population-level distr...

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Egile Nagusiak:	Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IOP Publishing 2025-01-01
Saila:	The Astrophysical Journal
Gaiak:	Strong gravitational lensing Bayesian statistics Hierarchical models Prior distribution Posterior distribution Sky surveys
Sarrera elektronikoa:	https://doi.org/10.3847/1538-4357/ad9b92
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!