A comparative benchmark of six Markov Chain Monte Carlo and nested samplers finds that HMC and nested sampling perform best on complex cosmological parameter spaces, though no method dominates overall.
Monte Carlo sampling methods using Markov chains and their applications
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Modern Bayesian Sampling Methods for Cosmological Inference: A Comparative Study
A comparative benchmark of six Markov Chain Monte Carlo and nested samplers finds that HMC and nested sampling perform best on complex cosmological parameter spaces, though no method dominates overall.