Assessment of gradient-based samplers in standard cosmological likelihoods

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...

書誌詳細
主要な著者:	Mootoovaloo, A, Ruiz-Zapatero, J, García-García, C, Alonso, D
フォーマット:	Journal article
出版事項:	Oxford University Press 2024

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