Université de GenèveDépartement de Physique ThéoriqueCAP Genève

The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison

Date: 
4. September 2024
Cite as: 
Piras et al., Open Journal of Astrophysics, Vol. 7, September 5th 2024
Members involved: 
Summary: 

We advocate for a new paradigm of cosmological likelihood-based inference, leveraging recent developments in machine learning and its underlying technology, to accelerate Bayesian inference in high-dimensional settings.

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Département de Physique Théorique
Université de Genève
24, quai Ernest Ansermet
1211 Genève 4
Switzerland
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