The future of cosmological likelihood-based inference: accelerated high-dimensional parameter estimation and model comparison
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. Specifically, we combine (i) emulation, where a machine learning model is traine...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Maynooth Academic Publishing
2024-09-01
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| Series: | The Open Journal of Astrophysics |
| Online Access: | https://doi.org/10.33232/001c.123368 |
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