Assessment of gradient-based samplers in standard cosmological likelihoods
We assess the usefulness of gradient-based samplers, such as the no-U-turn sampler (NUTS), by comparison with traditional Metropolis–Hastings (MH) algorithms, in tomographic 3 × 2 point analyses. Specifically, we use the Dark Energy Survey (DES) Year 1 data and a simulated dataset for the Large Syno...
| Hlavní autoři: | , , , |
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| Médium: | Journal article |
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Oxford University Press
2024
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